CN113116380A

CN113116380A - Display method and display device for aliasing index and aliasing area of blood flow imaging

Info

Publication number: CN113116380A
Application number: CN202010044601.8A
Authority: CN
Inventors: 杜宜纲; 董永强; 史志伟; 朱磊
Original assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Current assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Priority date: 2019-12-31
Filing date: 2020-01-14
Publication date: 2021-07-16
Anticipated expiration: 2040-01-14
Also published as: CN113116380B; CN120241125A

Abstract

The embodiment of the application discloses a display method and a display device for aliasing indexes and aliasing areas of blood flow imaging, wherein the display method for the aliasing indexes of the blood flow imaging comprises the following steps: transmitting ultrasonic waves to a target object, receiving ultrasonic echoes of the ultrasonic waves returned by the target object to obtain ultrasonic echo signals, and obtaining a current frame blood flow image according to the ultrasonic echo signals; determining an aliasing index of a target region of the current frame blood flow image, wherein the aliasing index is used for representing the degree of aliasing of the blood flow region of the target region of the current frame blood flow image; the aliasing index is displayed.

Description

Display method and display device for aliasing index and aliasing area of blood flow imaging

Technical Field

The application relates to the technical field of ultrasonic imaging, in particular to a display method and a display device for aliasing indexes and aliasing areas of blood flow imaging.

Background

Ultrasound blood flow imaging based on the doppler principle has been widely used in the medical field. However, ultrasonic blood flow imaging based on the doppler principle has the disadvantage of aliasing, which occurs when the actual velocity of the blood flow exceeds the current maximum measurable velocity. The hemodynamic research and quantitative measurement based on the blood flow imaging result with aliasing can greatly affect the accuracy of the research and measurement result.

At present, whether aliasing occurs in a blood flow imaging result is judged, a doctor needs to observe the aliasing result through naked eyes, and the observation may cause misjudgment or missed judgment on the aliasing condition due to insufficient experience or negligence of the doctor. Especially, the vector blood flow imaging result, the imaging and display mode itself is a relatively new technology, it is obviously not the most effective aliasing judgment mode to observe directly with naked eyes, and in addition, the vector blood flow imaging usually carries out quantitative measurement, if there is an error in aliasing judgment, the final measurement result may be greatly influenced. Therefore, the mode of judging whether the blood flow imaging result is subjected to aliasing in the ultrasound field is single at present, and the subjectivity is high.

Disclosure of Invention

The embodiment of the application provides a display method and a display device for aliasing indexes and aliasing areas of blood flow imaging, and whether aliasing occurs to a current frame blood flow image or not is determined through display of the aliasing indexes and/or the aliasing areas, so that the accuracy of quantitative measurement of the blood flow image is improved.

In a first aspect, an embodiment of the present application provides an aliasing index display method for blood flow imaging, including:

transmitting ultrasonic waves to a target object, receiving ultrasonic echoes of the ultrasonic waves returned by the target object to obtain ultrasonic echo signals, and obtaining a current frame blood flow image according to the ultrasonic echo signals;

determining an aliasing index of a target region of the current frame blood flow image, wherein the aliasing index is used for representing the degree of aliasing of the blood flow region of the target region of the current frame blood flow image;

the aliasing index is displayed.

In a second aspect, an embodiment of the present application provides a method for displaying an aliasing region of a blood flow image, including:

determining pixel points subjected to aliasing in a blood flow region in a target region of a current frame blood flow image;

determining an aliasing region formed by pixel points which are subjected to aliasing in a blood flow region in a target region of a current frame blood flow image;

the aliased regions are displayed.

In a third aspect, an embodiment of the present application provides an aliasing index display apparatus for blood flow imaging, including: the device comprises a probe, a transmitting circuit, a receiving circuit, a processor and a display;

a transmitting circuit for exciting the probe to transmit ultrasound to the target object;

the receiving circuit is used for controlling the probe to receive the ultrasonic echo of the ultrasonic wave returned by the target object to obtain an ultrasonic echo signal;

a processor for performing or controlling the transmit circuitry, receive circuitry or display to perform the method as in the first aspect.

In a fourth aspect, an embodiment of the present application provides an aliasing region display apparatus for a blood flow image, including: the device comprises a probe, a transmitting circuit, a receiving circuit, a processor and a display;

the transmitting circuit is used for exciting the probe to transmit ultrasonic waves to a target object;

a processor for executing or controlling the transmit circuitry, receive circuitry or display to perform a method as in the second aspect.

In a fifth aspect, embodiments of the present application provide a computer-readable storage medium, which stores a computer program, and the computer program enables a computer to execute the method according to the first aspect or the second aspect.

In a sixth aspect, embodiments of the present application provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer operable to cause a computer to perform a method according to the first or second aspect.

It can be seen that, in the embodiment of the present application, when performing blood flow imaging, the blood flow imaging apparatus determines an aliasing region and/or an aliasing index of a current frame blood flow image, and displays the aliasing region and/or the aliasing index on a visual interface, so that a doctor can timely know the aliasing degree of the current frame blood flow image and which regions are aliased, and a clear index is provided for judging whether aliasing occurs in the blood flow image, so that the doctor can objectively judge the aliasing phenomenon; because the doctor can definitely know the aliasing degree of the current frame blood flow image and which regions are aliased, whether the current measurement result is correct or not can be determined, the doctor can conveniently carry out correct medical analysis, misdiagnosis is avoided, and the accuracy of the diagnosis result is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1A is a schematic diagram illustrating aliasing of a conventional color Doppler ultrasound provided in an embodiment of the present application;

FIG. 1B is a graph of blood flow velocity provided by an embodiment of the present application;

fig. 1C is a structural diagram of a blood flow imaging apparatus according to an embodiment of the present disclosure;

fig. 2 is a schematic flowchart of an aliasing index display method for a blood flow image according to an embodiment of the present disclosure;

FIG. 3 is a schematic diagram showing a first aliasing index and a second aliasing index provided by an embodiment of the application;

FIG. 4 is a schematic diagram showing a first aliasing index, a second aliasing index and a third aliasing index according to an embodiment of the present application;

fig. 5 is a schematic diagram illustrating a first aliasing index of a multi-frame blood flow image according to an embodiment of the present application;

fig. 6 is a schematic diagram illustrating a mean value of aliasing indexes of a plurality of frames of blood flow images according to an embodiment of the present application;

fig. 7 is a flowchart illustrating an aliasing region display method for a blood flow image according to an embodiment of the present application;

FIG. 8 is a diagram illustrating a general shape of a first aliasing region provided by an embodiment of the application;

FIG. 9 is a diagram illustrating an aliasing index and aliasing regions of a blood flow image according to an embodiment of the present application;

FIG. 10 is a schematic diagram of an antialiasing process provided by an embodiment of the present application;

fig. 11 is a schematic diagram of another antialiasing process provided in the embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

Color doppler ultrasound blood flow imaging, color ultrasound for short, may appear aliasing during the blood flow velocity calculation process according to its implementation principle, causing the final blood flow image to change, as shown in fig. 1A.

When aliasing occurs, the measured blood flow velocity may be significantly different from the actual blood flow velocity.

When the actual velocity of the blood flow exceeds the current maximum measurable velocity v, as shown in FIG. 1B_maxWhen this happens, aliasing occurs. Wherein v is_maxCan be expressed by formula (1):

wherein f is_PRFIs the pulse repetition frequency, f₀The center frequency of an ultrasonic signal transmitted by an ultrasonic probe is theta, theta is an included angle between an actual flow direction assumed by blood flow and an ultrasonic propagation direction, and c is a sound velocity.

Therefore, if aliasing is not desired, it is desirable to obtain as large a v as possible_max. However, the speed of sound c is constant and cannot be changed, and f needs to be increased as much as possible to avoid aliasing_PRFOr decrease f₀Or increase theta. In practical applications, the increase and decrease of these parameters are also limited, and cannot be increased or decreased infinitely. E.g. decrease f₀The spatial resolution of the flow imaging is reduced. In addition, increasing the spatial resolution of a grayscale image requires increasing f₀Normally the bandwidth of the probe is not that wide, increasing f₀While decreasing f₀It is difficult to satisfy both. In addition, f_PRFIncreasing f for the reciprocal of the time interval between two adjacent pulse transmissions_PRFThe signal processing time of the ultrasound imaging system is reduced which increases the performance requirements on the system and increases costs. In addition, a certain time is required to receive the echo signal after each pulse transmission, which is related to the sound velocity and the imaging depth. Therefore, maximum f_PRFBut also by the actual speed of sound and the current imaging depth. Therefore f cannot be increased infinitely_PRF。

Aliasing in blood flow imaging is sometimes difficult to avoid. When aliasing occurs in a conventional color Doppler, as shown in FIG. 1A, since the conventional color Doppler is usually only used for qualitative analysis, bleeding images can be obtained even if aliasing occurs, and a doctor relatively knows the conventional manner, so that the aliasing basically does not affect normal diagnosis and clinical research.

However, if quantitative measurements are involved, aliasing can have a significant impact on the measurement results. Pulse doppler and ultrasound vector flow imaging are mainly applied to hemodynamic research and quantitative measurements. Once aliasing occurs, the measured value results can be very different from reality. The limitation of increasing the maximum measurable speed has been described above, and the actual speed is sometimes very high, so for some cases, such as arteriovenous fistula blood flow, blood flow at arterial stenosis, cardiac blood flow, etc., it is likely that the de-aliasing cannot be realized by adjusting the traditional parameters, resulting in the reversal of the speed calculation result, and seriously affecting the quantitative measurement accuracy of pulse doppler and vector blood flow imaging. This may result in the final measurement being very different from the actual value, affecting the medical analysis, possibly resulting in misdiagnosis or missed diagnosis.

First, it should be noted that the target Region according to the embodiment Of the present application includes a blood flow image Of the entire current frame, a Region Of Interest (ROI), and a non-Region Of Interest. In addition, in the present application, the determination of the aliasing index or the determination of the aliasing region is performed by using the entire blood flow region of the current frame blood flow image, the blood flow region of the ROI, and the blood flow region of the non-region-of-interest as samples.

Fig. 1C is a blood flow imaging apparatus according to an embodiment of the present application. When the blood flow imaging device is used for displaying the aliasing index of the blood flow image, the blood flow imaging device can also be called as an aliasing index display device; when the blood flow imaging apparatus is used for displaying an aliasing region of a blood flow image, the blood flow imaging apparatus may also be referred to as an aliasing region display apparatus;

the blood flow imaging apparatus 10 may include a probe 100, a transmitting circuit 101, a transmitting/receiving selection switch 102, a receiving circuit 103, a processor 104, and a display 105, wherein:

a transmission circuit 101 for exciting the probe 100 to transmit an ultrasonic wave to a target object;

a receiving circuit 103, configured to control the probe 100 to receive an ultrasonic echo of the ultrasonic wave returned by the target object, so as to obtain an ultrasonic echo signal;

the processor 104 is used for obtaining a current frame blood flow image according to the ultrasonic echo signal;

the processor 104 is further configured to determine pixel points where aliasing occurs in a blood flow region in a target region of the current frame blood flow image;

the processor 104 is further configured to determine an aliasing index of the target region of the current frame blood flow image, where the aliasing index is used to characterize a degree of aliasing of the blood flow region of the target region of the current frame blood flow image; and/or the presence of a gas in the gas,

a display 105 for displaying the aliasing index and/or displaying the aliasing region.

It can be seen that, in the embodiment of the present application, when performing blood flow imaging, the blood flow imaging apparatus determines an aliasing region and/or an aliasing index of a target region of a current frame blood flow image, and displays the aliasing region and/or the aliasing index on a visual interface, so that a doctor can know the degree of aliasing of the target region of the current frame blood flow image in time, and determine which regions in the target region are aliased, thereby providing a clear index for determining whether aliasing occurs in the blood flow image, and facilitating the doctor to objectively determine an aliasing phenomenon; because the doctor can definitely know the aliasing degree of the current frame blood flow image and which regions are aliased, whether the current measurement result is correct or not can be determined, the doctor can conveniently carry out correct medical analysis, misdiagnosis is avoided, and the accuracy of the diagnosis result is improved.

In a possible implementation, before the display 105 displays the aliasing index, the processor 104 is further configured to obtain the aliasing index of the target region of each frame of the blood flow image in the previous N frames of blood flow images corresponding to the current frame of blood flow image; determining a final aliasing index of a target region of the current frame blood flow image according to the aliasing index of the target region of each frame blood flow image in the previous N frames of blood flow images and the aliasing index of the target region of the current frame blood flow image;

in displaying the aliasing index, the display 105 is specifically configured to: the final aliasing index is displayed.

It should be noted that the determination of the aliasing index of the target region of each frame of the blood flow image in the previous N frames of the blood flow image is similar to the determination of the aliasing index of the target region of the current frame of the blood flow image, and the determination of the aliasing index of the target region of each frame of the blood flow image is specifically described in this application as an example.

In one possible embodiment, the target region includes the entire current frame blood flow image;

in determining the aliasing index of the target region of the current frame blood flow image, the processor 104 is specifically configured to:

determining a first aliasing index of the whole current frame blood flow image, wherein the first aliasing index is used for representing the degree of aliasing of a blood flow region of the whole current frame blood flow image;

in the aspect of determining an aliasing region formed by aliasing pixels in a blood flow region of a target region of a current frame blood flow image, the processor 104 is specifically configured to:

and determining a first aliasing region formed by pixel points which are aliased in the blood flow region of the whole current frame blood flow image.

In one possible embodiment, the target region includes a ROI framed in the current frame blood flow image;

determining a second aliasing index of the ROI, wherein the second aliasing index is used for representing the degree of aliasing of a blood flow region of the ROI;

and determining a second aliasing region formed by aliasing pixels in the blood flow region of the ROI.

In a possible implementation, the target region includes a non-interest region, wherein the non-interest region is all regions outside the ROI in the blood flow image of the whole current frame;

obtaining an ROI framed and selected by a user in a current frame blood flow image;

determining a third aliasing index of the region of non-interest, the third aliasing index being used to characterize a degree of aliasing occurring in a blood flow region of the region of non-interest;

and determining a third aliasing region composed of pixel points which are aliased in the blood flow region of the non-interested region.

In one possible implementation, the target region includes one or more of the whole current frame blood flow image, the ROI, and the non-interest region, and the aliasing index includes one or more of a first aliasing index corresponding to the whole current frame blood flow image, a second aliasing index corresponding to the ROI, and a third aliasing index corresponding to the non-interest region;

wherein, in displaying the aliasing index, the display 105 is specifically configured to:

one or more of the first aliasing index, the second aliasing index, and the third aliasing index are displayed.

In displaying the aliased region, display 105 is specifically configured to:

one or more of the first aliasing region, the second aliasing region, and the third aliasing region are displayed.

In one possible embodiment, the display 105, in displaying the aliasing index and/or displaying the aliasing region, is specifically configured to:

displaying one or more of the first aliasing index, the second aliasing index and the third aliasing index and/or displaying one or more of the first aliasing region, the second aliasing region and the third aliasing region.

In one possible implementation, in determining the aliasing index of the target region of the blood flow image of the current frame, the processor 104 is specifically configured to:

determining the ratio of the number of pixels subjected to aliasing in the blood flow region of the target region to the total number of pixels in the blood flow region of the target region as an aliasing index of the target region;

if the target region is the whole current frame blood flow image, the aliasing index is a first aliasing index representing the aliasing degree of the whole blood flow region of the current frame blood flow image, if the target region is the ROI, the aliasing index is a second aliasing index representing the aliasing degree of the blood flow region of the ROI, if the target region is the region of no interest, the aliasing index is a third aliasing index representing the aliasing degree of the blood flow region of the region of no interest.

determining an aliasing region formed by aliasing pixels in a blood flow region of a target region;

determining the ratio of the area of the aliasing region to the area of the blood flow region of the target region as the aliasing index of the target region;

if the target region is the whole current frame blood flow image, the aliasing index is a first aliasing index representing the aliasing degree of the whole blood flow region of the current frame blood flow image, if the target region is the region of interest, the aliasing index is a second aliasing index representing the aliasing degree of the blood flow region of the ROI, if the target region is the region of no interest, the aliasing index is a third aliasing index representing the aliasing degree of the blood flow region of the region of no interest.

In a possible implementation manner, in determining pixel points where aliasing occurs in a blood flow region of a target region of a current frame blood flow image, the processor 104 is specifically configured to:

determining a first pixel set subjected to aliasing in a blood flow region of a target region of a current frame blood flow image, wherein the first pixel set comprises at least one pixel point;

after the first pixel set is subjected to aliasing removing processing, determining a second pixel set subjected to aliasing in a blood flow region of a target region of the current frame blood flow image, wherein the second pixel set comprises at least one pixel point except the first pixel set;

and determining pixel points subjected to aliasing in the blood flow region of the target region of the current frame blood flow image according to the first pixel set and the second pixel set.

In one possible implementation, in determining the first pixel set where aliasing occurs in the blood flow region of the target region of the blood flow image of the current frame, the processor 104 is specifically configured to:

performing a first aliasing determination step, the first aliasing determination step comprising:

determining a first blood flow velocity of a space point A ', wherein the space point A' is a space point corresponding to a pixel point A, and the pixel point A is any one pixel point in a blood flow area of a target area of a current frame blood flow image;

acquiring a second blood flow velocity of a space point A ', wherein the space point A' is a space point corresponding to the pixel point A in the previous frame or the next frame of blood flow image;

obtaining a difference value between the first blood flow velocity and the second blood flow velocity;

acquiring a first threshold corresponding to a frame interval, wherein the frame interval is a time interval between a current frame blood flow image and a previous frame or a next frame blood flow image;

if the difference value is larger than the first threshold value, determining the pixel point A as the pixel point with aliasing;

the first pixel set comprises all aliasing-occurring pixel points determined according to the first aliasing determination step.

obtaining a difference value between a first blood flow velocity and a second blood flow velocity of each pixel point of a first pixel set in a blood flow area of a target area at a current frame and a previous frame or a space point corresponding to the current frame and the next frame to obtain a first difference value set;

obtaining a difference value between a current frame and a previous frame, or between a first blood flow velocity and a second blood flow velocity of the current frame and a next frame, of each pixel point of a second pixel set in a blood flow area of a target area, so as to obtain a second difference value set;

determining an aliasing index of the target region according to the variance or standard deviation of the first difference set and the second difference set;

performing a second aliasing determination step, the second aliasing determination step comprising:

determining a first blood flow velocity corresponding to a space point A ', wherein the space point A' is a space point corresponding to a pixel point A, and the pixel point A is any one pixel point in a blood flow region of a target region of a current frame blood flow image;

determining a second blood flow velocity corresponding to a space point B ', wherein the space point B' is a space point corresponding to the pixel point B, and the pixel point B is an adjacent pixel point of the pixel point A;

acquiring a second threshold corresponding to a spatial distance, wherein the spatial distance is the spatial distance between any two adjacent pixel points in the current frame blood flow image;

if the difference value is larger than a second threshold value, determining the pixel point A as a pixel point with aliasing;

and the first pixel set comprises all the aliasing-occurring pixel points determined according to the second aliasing determination step.

obtaining a difference value between a first blood flow velocity and a second blood flow velocity of each pixel point of a first pixel set in a blood flow area of a target area and a space point corresponding to an adjacent pixel point to obtain a third difference value set;

obtaining a difference value between a first blood flow velocity and a second blood flow velocity of each pixel point of a second pixel set in a blood flow area of the target area and a space point corresponding to an adjacent pixel point to obtain a fourth difference value set;

determining an aliasing index of the target region according to the variance or standard deviation of the third difference set and the fourth difference set;

performing a third aliasing determination step, the third aliasing determination step comprising:

determining a second blood flow velocity of a space point A ', wherein the space point A' is a space point corresponding to the pixel point A in the previous frame or the next frame of blood flow image;

determining a third blood flow velocity corresponding to a space point B ', wherein the space point B' is a space point corresponding to the pixel point B, and the pixel point B is an adjacent pixel point of the pixel point A;

obtaining a first difference value between the first blood flow velocity and the second blood flow velocity;

obtaining a second difference value between the first blood flow velocity and the third blood flow velocity;

if the first difference is larger than a first threshold or the second difference is larger than a second threshold, determining the pixel point A as the pixel point with aliasing;

and the first pixel set comprises all the aliasing-occurring pixel points determined according to the third aliasing determination step.

performing a fourth aliasing determination step, the fourth aliasing determination step comprising:

determining a first vector blood flow velocity corresponding to a space point A ', wherein the space point A' is a space point corresponding to a pixel point A, and the pixel point A is any one pixel point in a blood flow region of a target region of a current frame blood flow image;

determining a second vector blood flow velocity corresponding to a space point B ', wherein the space point B' is a space point corresponding to a pixel point B, and the pixel point B is an adjacent pixel point of the pixel point A;

acquiring a speed direction difference value of the first vector blood flow speed and the second vector blood flow speed;

the speed direction difference value is a non-negative number obtained by subtracting the angle value or the arc value corresponding to the speed direction of the first vector blood flow speed and the second vector blood flow speed and then taking an absolute value. The differences referred to in this application are all non-negative numbers obtained by taking absolute values.

The speed direction difference is described by way of example (taking the angle value as an example): for example, if the velocity direction of the first vector blood flow velocity is 13 degrees (corresponding to 360 degrees and 0 degrees coinciding with each other based on a 0-360 degree polar coordinate system), and the velocity direction of the second vector blood flow velocity is 8 degrees, the difference between the two is 5 degrees. For another example, if the velocity direction of the first vector blood flow velocity is 131 degrees and the velocity direction of the second vector blood flow velocity is 138 degrees, the difference between the two is 7 degrees. The difference between the first vector blood flow velocity and the second vector blood flow velocity in the velocity direction is 180 degrees at most, and if the result of subtracting the two is greater than 180 degrees, and the result of subtracting the two is Δ θ, the difference between the two should be equal to 360 degrees minus Δ θ. For example, if the velocity direction of the first vector blood flow velocity is 359 degrees and the velocity direction of the second vector blood flow velocity is 3 degrees, the difference between the two is 4 degrees.

if the speed direction difference value is larger than a second threshold value, determining the pixel point A as a pixel point with aliasing;

and the first pixel set comprises all the aliasing-occurring pixel points determined according to the fourth aliasing determination step.

acquiring a speed direction difference value of a first vector blood flow speed and a second vector blood flow speed of each pixel point of a first pixel set in a blood flow area of a target area and a space point corresponding to an adjacent pixel point to obtain a fifth difference value set;

acquiring a speed direction difference value of a first vector blood flow speed and a second vector blood flow speed of each pixel point of a second pixel set in the blood flow area of the target area and a space point corresponding to an adjacent pixel point to obtain a sixth difference value set;

determining an aliasing index of the target region according to the variance or standard deviation of the fifth difference set and the sixth difference set;

In one possible embodiment, the aliasing region comprises a first boundary and a first boundary range formed by the first boundary, the display 105 further being configured to display the first boundary in a first color and the first boundary range in a second color.

In a possible implementation, the processor 104 is further configured to receive an operation instruction for antialiasing; and for performing a de-aliasing process on at least one of the entire current frame blood flow image, the ROI and the region of non-interest in response to the operation instruction, and a display 105 for displaying the de-aliased blood flow image.

In a possible implementation, the processor 104 is further configured to perform a de-aliasing process on the entire current frame blood flow image and control the display 105 to display the de-aliased blood flow image when the first aliasing index is greater than the first aliasing threshold; and/or the presence of a gas in the gas,

when the second aliasing index is larger than the second aliasing threshold, performing aliasing removal processing on the region of interest, and controlling the display 105 to display the aliasing-removed blood flow image; and/or the presence of a gas in the gas,

when the third aliasing index is larger than the third aliasing threshold, the non-region of interest is subjected to the antialiasing processing, and the display 105 is controlled to display the unaliased blood flow image.

In one possible implementation, when the first aliasing index is smaller than the first aliasing threshold, stopping performing the de-aliasing process on the whole current frame blood flow image; and/or the presence of a gas in the gas,

stopping performing the de-aliasing processing on the region of interest when the second aliasing index is smaller than a second aliasing threshold; and/or the presence of a gas in the gas,

and stopping the de-aliasing processing of the non-interest region when the third aliasing index is smaller than the third aliasing threshold.

In one possible embodiment, the blood flow image comprises a color doppler ultrasound blood flow image and/or an ultrasound vector blood flow image.

In an embodiment of the present application, the display 105 of the blood flow imaging apparatus 10 may be a touch display, a liquid crystal display, or the like, or may be an independent display device such as a liquid crystal display, a television, or the like, which is independent from the blood flow imaging apparatus 10, or may be a display screen on an electronic device such as a mobile phone, a tablet computer, or the like.

In practical applications, the Processor 104 may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor, so that the Processor 104 can perform the corresponding steps of the ultrasound image Processing method in the embodiments of the present Application.

The Memory 106 may be a volatile Memory (volatile Memory), such as a Random Access Memory (RAM); or a non-volatile Memory (non-volatile Memory), such as a Read Only Memory (ROM), a flash Memory (flash Memory), a Hard Disk (Hard Disk Drive, HDD) or a Solid-State Drive (SSD); or a combination of the above types of memories and provides instructions and data to the processor 104.

Fig. 2 is a schematic flowchart of an aliasing index display method for blood flow imaging according to an embodiment of the present disclosure. The method is applied to a blood flow imaging device. The method of this embodiment includes, but is not limited to, the following steps:

201: transmitting ultrasonic waves to a target object, receiving ultrasonic echoes of the ultrasonic waves returned by the target object to obtain ultrasonic echo signals, and obtaining a current frame blood flow image according to the ultrasonic echo signals.

And obtaining a current frame blood flow image based on a Doppler blood flow imaging technology. The current frame may be one or more frames of the blood flow image currently being displayed.

202: and determining the aliasing index of the target region of the current frame blood flow image.

The aliasing index is used for representing the degree of aliasing of the blood flow region in the target region of the current frame blood flow image.

The aliasing index of the target region of the current frame blood flow image is determined, which may be obtained by performing an aliasing index calculation operation on the target region of the currently displayed one or more frames of blood flow images to obtain the aliasing index of the target region of the current frame blood flow image, that is, the aliasing index of the target region of the current frame blood flow image is obtained based on the currently displayed one or more frames of blood flow images or corresponding ultrasound echo signals; for example, an average aliasing index of the target region of the previous frame and the next frame of the currently displayed blood flow image may be used as the aliasing index of the target region of the current frame blood flow image, and the current frame may be the currently displayed one or more frames of blood flow images. The manner in which the aliasing and aliasing index are determined will be described in detail later.

Optionally, pixels where aliasing occurs in the target region of the current frame blood flow image are determined, and an aliasing index of the target region of the current frame blood flow image is determined based on the pixels where aliasing occurs in the target region of the current frame blood flow image.

203: the aliasing index is displayed.

And the blood flow imaging device displays the aliasing index of the target region of the current frame blood flow image on a visual interface.

It can be seen that, in the embodiment of the present application, when performing blood flow imaging, the blood flow imaging apparatus determines an aliasing index of a target region of a current frame blood flow image, and displays the aliasing index on a visual interface, so that a user can timely know the degree of aliasing of the blood flow region in the target region of the current frame blood flow image, and a clear index is provided for judging whether the blood flow image is aliased, so that a doctor can objectively judge an aliasing phenomenon; because the doctor can definitely know the aliasing index of the target area of the current frame blood flow image, the doctor can judge whether the current measurement result is correct according to the aliasing index, correct medical analysis is favorably carried out by the doctor, misdiagnosis is avoided, and the accuracy of the diagnosis result is improved.

Optionally, the target region includes one or more of the whole current frame blood flow image, the ROI and the non-region of interest. Therefore, when the target region includes the whole current frame blood flow image, the determined aliasing index of the target region is the first aliasing index of the current frame blood flow image, and the first aliasing index is used for representing the degree of aliasing of the whole blood flow region of the current frame blood flow image; when the target region comprises an ROI, the determined aliasing index is a second aliasing index of the ROI, and the second aliasing index is used for representing the degree of aliasing in a blood flow region of the ROI; when the target region includes a region of non-interest, the determined aliasing index is a third aliasing index of the region of non-interest, and the third aliasing index is used for representing the degree of aliasing occurring in a blood flow region of the region of non-interest.

In practical applications, which image region the target region includes may be set by a user, or may be set autonomously by the blood flow imaging apparatus, which is not limited in the present application. It is to be understood that when the determined aliasing index comprises one of the first aliasing index, the second aliasing index and the third aliasing index, then the aliasing index may be directly displayed; when the determined aliasing index is more than one (2 or 3) of the first, second and third aliasing indices, then one or more of the plurality of aliasing indices may be displayed.

For example, in the case that the first aliasing index and the second aliasing index are determined, as shown in fig. 3, the first aliasing index and/or the second aliasing index may be displayed, that is, the first aliasing index or the second aliasing index may be displayed separately, or the first aliasing index and the second aliasing index may be displayed simultaneously. Specifically, which aliasing index is displayed in practical application can be set by a user, for example, an aliasing index display switch can be set for each image region (including the current frame blood flow image, the ROI and the non-interesting region, and the subsequently mentioned image regions refer to the three parts), the user can control the aliasing index display switch of each image region, when the aliasing index display switch of the image region is turned on, the aliasing index of the image region is displayed, and when the aliasing index display switch of the image region is turned off, the aliasing index of the image region is not displayed; the display may also be automatically recognized by the blood flow imaging apparatus, for example, by comparing the first aliasing index and the second aliasing index with a set threshold value, respectively, and automatically displaying the aliasing index larger than the set threshold value. Further, the first aliasing index and the second aliasing index may be compared with respective set thresholds, and the aliasing index larger than the respective set thresholds may be automatically displayed.

As another example, as shown in fig. 4, when the second aliasing index, the third aliasing index, and the third aliasing index are determined, one or more of the first aliasing index, the second aliasing index, and the third aliasing index may be displayed, that is, any one of the first aliasing index, the second aliasing index, and the third aliasing index may be displayed separately, any two of the first aliasing index, the second aliasing index, and the third aliasing index may be displayed simultaneously, or the first aliasing index, the second aliasing index, and the third aliasing index may be displayed simultaneously. Specifically displaying which aliasing index can be set by a user in practical application, setting an aliasing index display switch for each image region, controlling the aliasing index display switch of each image region by the user, displaying the aliasing index of the image region when the aliasing index display switch of the image region is turned on, and not displaying the aliasing index of the image region when the aliasing index display switch of the image region is turned off; the display can also be automatically identified by the blood flow imaging identification device. For example, the first aliasing index, the second aliasing index, and the third aliasing index are respectively compared with a set threshold value, and the aliasing index larger than the set threshold value is automatically displayed. Further, the first aliasing index, the second aliasing index, and the third aliasing index may be compared with respective set thresholds, and the aliasing index larger than the respective set thresholds may be automatically displayed.

In a possible implementation manner, before determining an aliasing index of a target region of a current frame blood flow image, determining pixel points in the blood flow region of the target region where aliasing occurs; and then, determining the aliasing index of the target region according to the pixel points subjected to aliasing in the blood flow region of the target region.

The manner in which the aliasing and aliasing index are determined is described in detail below.

In a possible implementation manner, the determining pixel points where aliasing occurs in the blood flow region of the target region of the current frame blood flow image includes:

Specifically, the present application provides the following three ways of determining the first pixel set in which aliasing occurs in the blood flow region of the target region in the blood flow image of the current frame for the color doppler ultrasound blood flow image.

The first way (the way of judging aliasing by time dimension):

determining a first blood flow velocity of a space point A ', wherein the space point A' is a space point corresponding to a pixel point A, the space point of the pixel point is a space position of each pixel point in an image after the image is subjected to space transformation, and the space transformation is the prior art and is not described any more;

acquiring a first threshold corresponding to a frame interval, wherein the frame interval is a time interval between a current frame blood flow image and a previous frame or a next frame blood flow image, the time interval is a time difference between two frames of blood flow image imaging, and acquiring the first threshold corresponding to the frame interval according to a mapping relation between the threshold and the frame interval. Specifically, the smaller the frame interval is, the larger the time resolution of the blood flow image is, and the smaller the possibility that the blood flow velocities of two pixel points representing the same blood flow position in the two frame images are greatly changed is. Therefore, in order to accurately judge whether the pixel points on the current frame are aliased, when the value of the frame interval is small, the value of the first threshold is also small, namely the value of the first threshold is in direct proportion to the frame interval and in inverse proportion to the time resolution;

and if the difference value is larger than a first threshold value, determining the pixel point A as a pixel point with aliasing, wherein the first pixel set comprises all the pixel points with aliasing determined according to the first aliasing determining step.

The second way (the way of judging aliasing by spatial dimension):

determining a first blood flow velocity corresponding to a space point A ', wherein the space point A' is a space point corresponding to a pixel point A, and the space point of the pixel point is a space position where each pixel point in an image is located after the image is subjected to space transformation, and the space transformation is the prior art and is not described any more;

determining a second blood flow velocity corresponding to a space point B ', wherein the space point B' is a space point corresponding to the pixel point B;

and acquiring a second threshold corresponding to the spatial distance, wherein the spatial distance is the spatial distance between any two adjacent pixel points in the current frame blood flow image, the spatial distance is obtained by calculating the spatial coordinates of the spatial points of any two pixel points, the second threshold is obtained by the mapping relation between the threshold and the spatial distance, and the mapping relation is preset. Specifically, the smaller the spatial distance between any two adjacent pixel points is, the larger the spatial resolution of the blood flow image is, that is, the closer the two blood flow positions represented by the two adjacent pixel points are, the smaller the possibility that the blood flow velocity of the two adjacent pixel points changes greatly is. Therefore, in order to accurately judge whether the pixel points on the current frame are aliased, when the spatial distance is small, the value of the second threshold is also small, namely the value of the second threshold is in direct proportion to the spatial distance and in inverse proportion to the spatial resolution;

and if the difference is larger than a second threshold value, determining the pixel point A as an aliasing pixel point, wherein the first pixel set comprises all aliasing pixel points determined according to the second aliasing determination step.

The third mode (mode of judging aliasing through a time dimension + a space dimension):

determining a first blood flow velocity corresponding to a space point A ', wherein the space point A' is a space point corresponding to a pixel point A;

and if the first difference is greater than the first threshold or the second difference is greater than the second threshold, determining the pixel point A as the pixel point with aliasing, wherein the first pixel set comprises all the pixel points with aliasing determined according to the third aliasing determining step.

That is, when the pixel point a is aliased in any one of the time dimension and the space dimension, the pixel point a is considered to be aliased; that is to say, a pixel is determined to be unaliased only when both the time dimension and the space dimension determine that the pixel is unaliased.

And the blood flow image is ultrasonic vector blood flow imaging. The application provides a way of determining a first set of pixels where aliasing occurs in a blood flow region of a target region of a current frame blood flow image:

determining a first vector blood flow velocity of a space point A ', wherein the space point A' is a space point corresponding to a pixel point A, and the space point of the pixel point is a space position where each pixel point in an image is located after the image is subjected to space transformation, and the space transformation is the prior art and is not described any more;

the blood flow velocity of each spatial point can be determined based on a multi-angle deflection emission mode, and also can be determined based on a speckle tracking method, a transverse oscillation method or a fluid mechanics mode, which is not described in detail in the application.

And acquiring a second threshold corresponding to the spatial distance, wherein the spatial distance is the spatial distance between any two adjacent pixel points in the current frame blood flow image, the spatial distance is obtained by calculating the spatial coordinates of the spatial points of any two pixel points, the second threshold is obtained by the mapping relation between the threshold and the spatial distance, and the mapping relation is preset. Specifically, the smaller the spatial distance between any two adjacent pixel points is, the larger the spatial resolution of the blood flow image is, that is, the closer the two blood flow positions represented by the two adjacent pixel points are, the smaller the possibility that the blood flow velocity direction of the two adjacent pixel points changes greatly is. Therefore, in order to accurately judge whether the pixel points on the current frame are aliased, when the spatial distance is small, the value of the second threshold is also small, namely the value of the second threshold is in direct proportion to the spatial distance and in inverse proportion to the spatial resolution;

and if the speed direction difference value is greater than a second threshold value, determining the pixel point A as a pixel point with aliasing, wherein the first pixel set comprises all the pixel points with aliasing determined according to the fourth aliasing determining step.

It should be noted that the pixel point a mentioned above is any one pixel point in the blood flow region of the target region of the current frame blood flow image, the pixel point B is an adjacent pixel point of the pixel point a, and the pixel point B is any one pixel point of a plurality of adjacent pixel points when the pixel point a has the plurality of adjacent pixel points.

The above embodiments have described the determination method of the first pixel set in detail, and the determination method of the second pixel set needs to perform the de-aliasing process on the first pixel set first, and then determine the first pixel set by using the determination method of the first pixel set as described in the above embodiments, which is not described in detail here. It should be noted that the performing the antialiasing processing on the first pixel set is to further determine all pixel points in the blood flow region of the target region of the current frame blood flow image, where aliasing occurs, based on a difference between aliasing and unaliazation, and the result after the antialiasing processing is not displayed. In the embodiment of the application, only the determination manners of the first pixel set and the second pixel set are listed, in the process of actually determining the aliasing pixel points in the blood flow region of the target region of the current frame blood flow image, continuous iteration may be required according to the determination manners of the first pixel set and the second pixel set to obtain a third pixel set, a fourth pixel set … N pixel set and the like (specific iteration times are not limited here), and then all the aliasing pixel points in the blood flow region of the target region of the current frame blood flow image are obtained. It is understood that the third set of pixels is determined after the antialiasing processing based on the first set of pixels and the second set of pixels, and the fourth set of pixels is determined after the antialiasing processing based on the first set of pixels, the second set of pixels, and the third set of pixels, which will not be described in detail herein.

Several methods of calculating the aliasing index, i.e., the process of determining the aliasing index, are provided below.

The first mode is as follows: and determining the ratio of the number of pixels subjected to aliasing in the blood flow region of the target region to the total number of pixels in the blood flow region of the target region as an aliasing index of the target region.

The second mode is as follows: determining an aliasing region formed by aliasing pixels in a blood flow region of a target region; and determining the ratio of the area of the aliasing region to the area of the blood flow region of the target region as the aliasing index of the target region.

The third mode is as follows: obtaining a difference value between a first blood flow velocity and a second blood flow velocity of each pixel point of a first pixel set in a blood flow area of a target area at a current frame and a previous frame or a space point corresponding to the current frame and the next frame to obtain a first difference value set; obtaining a difference value between a current frame and a previous frame, or between a first blood flow velocity and a second blood flow velocity of the current frame and a next frame, of each pixel point of a second pixel set in a blood flow area of a target area, so as to obtain a second difference value set; and determining the aliasing index of the target region according to the variance or standard deviation of the first difference set and the second difference set. It should be noted that the first difference set includes a difference of velocities of each pixel point in the first pixel set in the time dimension, and the second difference set includes a difference of velocities of each pixel point in the second pixel set in the time dimension; the difference of the velocities in the time dimension can be understood by referring to the aforementioned description of the aliasing determination in the time dimension, which is not further described herein. The number of pixel sets is not limited, and correspondingly, the number of difference sets is not limited here.

The fourth mode is that: obtaining a difference value between a first blood flow velocity and a second blood flow velocity of each pixel point of a first pixel set in a blood flow area of a target area and a space point corresponding to an adjacent pixel point to obtain a third difference value set; obtaining a difference value between a first blood flow velocity and a second blood flow velocity of each pixel point of a second pixel set in a blood flow area of the target area and a space point corresponding to an adjacent pixel point to obtain a fourth difference value set; and determining the aliasing index of the target region according to the variance or standard deviation of the third difference set and the fourth difference set. It should be noted that the third difference set includes a difference of velocities of each pixel point in the first pixel set in the spatial dimension, and the fourth difference set includes a difference of velocities of each pixel point in the second pixel set in the spatial dimension; the difference of the velocities in the spatial dimension can be understood by referring to the aforementioned description of the aliasing judgment method through the spatial dimension, which is not further described herein. The number of pixel sets is not limited, and correspondingly, the number of difference sets is not limited here.

The fifth mode is as follows: acquiring a speed direction difference value of a first vector blood flow speed and a second vector blood flow speed of each pixel point of a first pixel set in a blood flow area of a target area and a space point corresponding to an adjacent pixel point to obtain a fifth difference value set; acquiring a speed direction difference value of a first vector blood flow speed and a second vector blood flow speed of each pixel point of a second pixel set in the blood flow area of the target area and a space point corresponding to an adjacent pixel point to obtain a sixth difference value set; and determining the aliasing index of the target region according to the variance or standard deviation of the fifth difference set and the sixth difference set. It should be noted that the fifth difference set includes a speed direction difference of each pixel point in the first pixel set in the spatial dimension, and the sixth difference set includes a speed direction difference of each pixel point in the second pixel set in the spatial dimension; the velocity direction difference in the spatial dimension can be understood by referring to the aforementioned description of the first pixel set in which aliasing occurs in the blood flow region of the target region in the blood flow image of the current frame based on the ultrasound vector blood flow imaging, and it is not further described here. The number of pixel sets is not limited, and correspondingly, the number of difference sets is not limited here.

It is understood that, if the target region is the whole current frame blood flow image, the determined aliasing index is the first aliasing index, if the target region is the ROI, the determined aliasing index is the second aliasing index, if the target region is the region of non-interest, and the determined aliasing index is the third aliasing index.

In one possible embodiment, after determining the aliasing index of the target region (including one or more of the whole blood flow region, the ROI, and the non-region of interest of the blood flow image of the current frame), the method further comprises:

receiving an operation instruction for de-aliasing;

and responding to the operation instruction, performing de-aliasing treatment on at least one of the whole current frame blood flow image, the ROI and the non-interested region, and displaying the de-aliased blood flow image.

It can be understood that the ROI and the non-region of interest are both part of the whole current frame blood flow image. Therefore, the antialiasing of the entire current frame blood flow image also substantially antialiasing the ROI and the non-region of interest. Similarly, when the ROI and the non-region-of-interest are subjected to the antialiasing processing at the same time, the antialiasing processing is substantially performed on the entire current frame blood flow image.

The whole current frame blood flow image, the ROI or the non-interested region is subjected to aliasing removing processing, and the aliasing removing processing can be set by a user. For example, a de-aliasing switch is set for each image region (including the whole current frame blood flow image, the ROI and the non-region of interest), and the blood flow imaging apparatus can perform de-aliasing processing on the image region when the user turns on the de-aliasing switch of the image region, and does not perform de-aliasing processing on the region when the user turns off the aliasing switch of the region. Of course, the blood flow imaging apparatus may automatically perform the antialiasing processing on each image region, which is not limited in this application.

Specifically, under the condition that the blood flow imaging device automatically performs aliasing removal, when the first aliasing index is larger than a first aliasing threshold, automatically performing aliasing removal processing on the whole current frame blood flow image, and displaying the blood flow image after aliasing removal; when the second aliasing index is larger than the second aliasing threshold, automatically performing aliasing removing processing on the ROI, and displaying a blood flow image after aliasing removing; and when the third aliasing index is larger than the third aliasing threshold, automatically performing aliasing removal processing on the non-interested region, and displaying the blood flow image after aliasing removal.

The first aliasing threshold, the second aliasing threshold, and the third aliasing threshold may be the same or different, and are not limited in this application.

Further, when the de-aliasing processing is carried out, the current aliasing index of each image region is calculated in real time; when the first aliasing index of the current frame blood flow image is smaller than the first aliasing threshold, stopping performing aliasing removing processing on the whole current frame blood flow image, and displaying the aliasing removed blood flow image; when the second aliasing index of the ROI is smaller than the second aliasing threshold, stopping performing aliasing removing processing on the ROI, and displaying a blood flow image after aliasing removing; and when the third aliasing index of the non-interested region is smaller than the third aliasing threshold, stopping performing the de-aliasing processing on the non-interested region, and displaying the de-aliased blood flow image.

In one possible implementation, the de-aliasing process essentially replaces the blood flow velocity corresponding to the aliased pixel with the maximum measurable velocity v_maxWherein the maximum measurable velocity v_maxCan be obtained by the formula (1) and is not described in detail.

It should be noted that, the above mentioned schemes are all to perform the calculation, display and de-aliasing processing of the aliasing index on the current frame blood flow image. However, in practical applications, it is also possible to calculate an aliasing index for each frame of blood flow image in N frames of blood flow images obtained over a period of time, sequentially display the aliasing index for each frame of blood flow image, and perform de-aliasing processing on each frame of blood flow image in the N frames of blood flow images respectively.

As shown in fig. 5, calculation of aliasing indexes is performed on the first frame blood flow image, the second frame blood flow image, and the third frame blood flow image, respectively, and the aliasing indexes of each frame blood flow image are displayed.

In addition, when determining the aliasing index of the target region of each frame of blood flow image in the N frames of blood flow images, the aliasing index of the target region of each frame of blood flow image is not directly displayed, but the average value of the aliasing indexes of the target region of the N frames of blood flow images is obtained and used as the aliasing index of each frame of blood flow image, that is, the aliasing indexes of each frame of blood flow image in the multiple frames of blood flow images are all displayed as the average value.

The calculation and display of the aliasing index of the target region in each frame of the blood flow image are consistent with the processing mode of the current frame of the blood flow image, and the description is not repeated. That is, the processing method for each frame of the blood flow image and the ROI and the non-region of interest in the blood flow image is the same as the above-described processing method for each frame of the blood flow image, and the description thereof will not be repeated.

For example, as shown in fig. 6, first aliasing indexes of the first frame blood flow image, the second frame blood flow image and the third frame blood flow image are calculated respectively. However, instead of displaying the first aliasing index of each frame of the blood flow image, a mean value of the first aliasing indexes is obtained and displayed as the first aliasing index of each frame of the blood flow image.

Referring to fig. 7, fig. 7 is a flowchart illustrating a method for displaying an aliasing region of a blood flow image according to an embodiment of the present application. The method is applied to a blood flow imaging device. The same contents in this embodiment as those in the embodiment shown in fig. 2 will not be repeated here. The method of this embodiment includes, but is not limited to, the following steps:

701: transmitting ultrasonic waves to a target object, receiving ultrasonic echoes of the ultrasonic waves returned by the target object to obtain ultrasonic echo signals, and obtaining a current frame blood flow image according to the ultrasonic echo signals.

702: and determining pixel points which are subjected to aliasing in the blood flow region of the target region of the current frame blood flow image.

The determination of the pixel point where aliasing occurs in the blood flow region of the target region of the current frame blood flow image may refer to the above implementation process, and is not described in detail again.

703: and determining an aliasing region formed by pixel points which are subjected to aliasing in the blood flow region of the target region of the current frame blood flow image.

Since the position where aliasing occurs is not fixed, the shape of the aliasing region is not fixed and may be any shape, and the number of the aliasing regions is one or more.

Referring to fig. 8, fig. 8 illustrates aliasing regions of several common shapes.

Specifically, the distance between any two adjacent pixel points in the pixel points subjected to aliasing in the blood flow region of the target region of the current frame blood flow image is obtained, and if the distance between the two adjacent pixel points is smaller than a threshold value, the two adjacent pixel points are determined to belong to the same aliasing region; then, when the distance between a certain pixel point where aliasing occurs and an adjacent pixel point is greater than a threshold value, determining that the pixel point where aliasing occurs is the boundary of an aliasing area where the pixel point is located. Therefore, the boundary of each aliasing region can be determined in turn, and the aliasing region is delineated by the boundary of each aliasing region.

704: the aliased region is displayed.

After the determination of the aliasing region, the aliasing region is displayed on a visualization interface, as shown in FIG. 8.

Optionally, when the number of the aliasing regions is multiple, when the aliasing regions are displayed, all the aliasing regions may be displayed, or a part of the aliasing regions may be displayed, which is not limited in the present application. When displaying the partial aliasing region, the selection may be performed autonomously by the user or may be automatically displayed by the blood flow imaging apparatus. For example, in the automatic display, the area of each aliasing region may be acquired, and in the case where the area is larger than a threshold value, the aliasing region is displayed, and otherwise, the aliasing region is not displayed.

In addition, when the number of the first aliasing region, the second aliasing region, and the third aliasing region mentioned later is one or more, a part of or the whole of the display may be performed in the case of a plurality of aliasing regions, and the description thereof will be omitted.

It can be seen that, in the embodiment of the present application, when performing blood flow imaging, the blood flow imaging apparatus determines an aliasing region of a target region of a current frame blood flow image, and displays the aliasing region on a visual interface, so that a user can timely know which regions in the target region of the current frame blood flow image are aliased, and a clear index is provided for judging whether aliasing occurs in the blood flow image, so that a doctor can objectively judge an aliasing phenomenon; because the doctor can definitely know which areas of the current frame blood flow image are overlapped, the doctor can judge whether the current measurement result is correct according to the overlapping area, correct medical analysis is favorably carried out by the doctor, misdiagnosis is avoided, and the accuracy of the diagnosis result is improved.

Optionally, the target region includes one or more of the whole current frame blood flow image, the ROI and the non-region of interest. Thus. When the target region comprises the whole current frame blood flow image, the determined aliasing region is a first aliasing region of the whole current frame blood flow image; when the target region comprises the ROI, the determined aliasing region is a second aliasing region of the ROI; and when the target region comprises a non-interesting region, the determined aliasing region is a third aliasing region of the non-interesting region.

In practical applications, which image region the target region includes may be set by a user, or may be set autonomously by the blood flow imaging apparatus, which is not limited in the present application. It is to be understood that when the determined aliasing region comprises one of the first aliasing region, the second aliasing region and the third aliasing region, the aliasing region may be directly selected; when the determined aliasing regions are a plurality (2 or 3) of the first aliasing region, the second aliasing region and the third aliasing region, one or more of the plurality of aliasing regions may be displayed.

For example, where the first aliased region and the second aliased region are derived, the first aliased region and/or the second aliased region may be displayed on the visualization interface. That is, the first aliasing region or the second aliasing region is displayed separately; alternatively, the first aliasing region and the second aliasing region are displayed synchronously.

It is understood that since the ROI is a part of the blood flow image of the current frame, the second aliasing region is substantially one of the first aliasing regions. Thus, if all of the first alias region is displayed, the second alias region is displayed substantially simultaneously with the display of the first alias region.

For another example, where a first aliasing region, a second aliasing region, and a third aliasing region are obtained, one or more of the first aliasing region, the second aliasing region, and the third aliasing region may be displayed.

In one possible embodiment, the aliasing region further includes a first boundary and a first boundary range formed by the first boundary, so when displaying the aliasing region, the first boundary can be displayed in a first color, and the first boundary range can be displayed in a second color, so that the aliasing region can be clearly and accurately observed by a user, wherein the aliasing region is any one of the first aliasing region, the second aliasing region and the third aliasing region. The colors of the first boundaries between the first aliasing region, the second aliasing region, and the third aliasing region may be the same or different. For example, the first boundary of the first aliasing region, the first boundary of the second aliasing region, and the first boundary of the third aliasing region may be displayed in yellow, blue, and red, respectively, or the first boundary of the first aliasing region, the first boundary of the second aliasing region, and the first boundary of the third aliasing region may be displayed in yellow; the first boundary ranges between the first aliasing region, the second aliasing region and the third aliasing region may be the same or different, and the present application does not limit these ranges.

In one possible embodiment, the method further comprises;

determining an aliasing index of a target region of the current frame blood flow image;

displaying an aliasing index of the target region while displaying an aliasing region of the target region;

specifically, when the target region is the whole current frame blood flow image, the aliasing region is a first aliasing region of the whole current frame blood flow image, and the aliasing index is determined to be a first aliasing index of the target region of the current frame blood flow image, and the first aliasing index is used for representing the aliasing degree of the whole blood flow region of the whole current frame blood flow image; when the target region is an ROI, the aliasing region is a second aliasing region of the ROI, and the aliasing index is determined to be a second aliasing index of the ROI, wherein the second aliasing index is used for representing the degree of aliasing of a blood flow region of the ROI; when the target image is a region of no interest, the aliasing region is a third aliasing region of the region of no interest, and the aliasing index is determined to be a third aliasing index of the region of no interest, and the second aliasing index is used for characterizing the degree of aliasing of a blood flow region of the region of no interest.

The determination of the aliasing index of the target region can be referred to the above-mentioned manner of determining the aliasing index, and is not described herein.

Referring to fig. 9, fig. 9 is a schematic diagram showing a first aliasing region, a second aliasing region and a third aliasing region. Since the aliasing index of each aliasing region is calculated, as shown in fig. 9, the aliasing indexes of the respective image regions can be synchronously displayed while the aliasing regions of the respective image regions are displayed.

In one possible embodiment, after displaying the aliasing region and/or the aliasing index of the target region, the blood flow imaging apparatus may receive an operation instruction for aliasing removal, perform aliasing removal processing on the target region in response to the operation instruction, and display the aliasing removed blood flow image.

Optionally, the antialiasing processing on the current frame blood flow image, the ROI and the non-region of interest may be controlled by the user. The user may autonomously select which image region to de-alias by observing the first aliasing region and/or the first aliasing index of the current frame blood flow image, the second aliasing region and/or the second aliasing index of the ROI, and the third aliasing region and/or the third aliasing index of the non-region of interest displayed on the visualization interface. Specifically, each image region is provided with a de-aliasing switch, when a user turns on the de-aliasing switch of the image region, the blood flow imaging device can perform de-aliasing processing on the region, and when the user turns off the aliasing switch of the image region, the de-aliasing processing is not performed on the image region.

For example, as shown in fig. 10, when the antialiasing switch of the ROI is turned on and the antialiasing switch of the non-region-of-interest is turned off, the antialiasing processing needs to be performed on the ROI during the antialiasing processing. It can be seen from fig. 10 that the second aliasing index of the ROI has changed from 85% to 10%, and since the ROI itself is part of the blood flow image of the current frame, the first aliasing index has also changed from 15% to 5%, however, the third aliasing index has remained unchanged at 3%.

As shown in fig. 11, when the antialiasing switch of the ROI is turned on and the antialiasing switch of the non-region of interest is also turned on, it is necessary to perform the antialiasing processing on both the ROI and the non-region of interest, and it can be seen that the second aliasing index of the ROI is changed from 85% to 10%, the third aliasing index of the non-region of interest is changed from 3% to 0%, and the first aliasing index is also changed from 15% to 2% since both the ROI and the non-region of interest are part of the blood flow image of the current frame.

In addition, the blood flow imaging device can also automatically perform the aliasing removing processing on the blood flow image of the current frame, the ROI and the non-interested region.

Specifically, a first ratio of the area of a first aliasing region to the area of the current frame blood flow image is obtained, and when the first ratio is greater than a first ratio threshold, the whole current frame blood flow image is subjected to aliasing removing processing, and an image after aliasing removing is displayed;

and/or acquiring a second ratio of the second aliasing region relative to the total area of the ROI, and performing de-aliasing processing on the ROI and displaying a de-aliased and overlapped image when the second ratio is larger than a second ratio threshold;

and/or acquiring a third ratio of the area of the third aliasing region to the non-interest region, and performing de-aliasing processing on the non-interest region and displaying the de-aliased image when the third ratio is larger than a third ratio threshold.

The first, second, and third duty thresholds may be the same or different, and are not limited in this application.

Further, when carrying out aliasing removing processing, determining aliasing areas of the current frame blood flow image, the ROI and the non-interesting area in real time, and determining a current latest first ratio of the aliasing areas of the current frame blood flow image, a current latest second ratio of the aliasing areas of the ROI and a current latest third ratio of the aliasing areas of the non-interesting area in real time; stopping performing de-aliasing processing on the whole current frame blood flow image when the current latest first ratio is smaller than the first ratio threshold; and/or stopping performing the aliasing removing processing on the ROI when the current latest second ratio is smaller than a second ratio threshold; and/or stopping the aliasing removing processing of the non-interested region when the current latest third ratio is larger than the third ratio threshold value.

For example, if the second percentage threshold set for the ROI is 30%, and if the percentage of the area of the second aliasing region to the total area of the ROI is 75%, the ROI is automatically subjected to the antialiasing processing. When the ratio of the area of the second aliasing region to the total area of the ROI is detected to be less than 30%, the antialiasing processing on the ROI is stopped.

Optionally, while determining the aliasing regions of the whole current frame blood flow image, the ROI and the non-interest region, the aliasing indexes of the whole current frame blood flow image, the ROI and the non-interest region are also determined; therefore, in the case where the blood flow imaging apparatus automatically performs the antialiasing processing on the entire current frame blood flow image, the ROI, and the region of non-interest, the automatic antialiasing can also be achieved by:

when the first aliasing index is larger than a first aliasing threshold value, performing aliasing removing processing on the whole current frame blood flow image, and displaying the blood flow image after aliasing removing; and/or the presence of a gas in the gas,

when the second aliasing index is larger than a second aliasing threshold, performing aliasing removing processing on the ROI, and displaying a blood flow image after aliasing removing; and/or the presence of a gas in the gas,

and when the third aliasing index is larger than a third aliasing threshold value, performing aliasing removal processing on the non-interested region, and displaying the blood flow image after aliasing removal.

Further, when the first aliasing index is smaller than the first aliasing threshold, stopping performing the de-aliasing process on the whole current frame blood flow image;

and/or stopping the antialiasing processing on the region of interest when the second aliasing index is smaller than a second aliasing threshold;

and/or stopping the de-aliasing process for the region of non-interest when the third aliasing index is less than a third aliasing threshold.

It should be noted that, the above-mentioned schemes are all to determine and display aliasing regions, calculate and display aliasing indexes, and perform de-aliasing processing on the basis of the whole current frame blood flow image. In practical application, each frame of blood flow image in the N frames of blood flow images obtained within a period of time can be subjected to determination and display of an aliasing region, calculation and display of an aliasing index and de-aliasing processing, and the aliasing region and the aliasing index of each frame of blood flow image are sequentially displayed and the de-aliasing processing is respectively performed on each frame of blood flow image. As shown in fig. 6, determination of aliasing regions, calculation of aliasing indexes, and display of aliasing regions and aliasing indexes are performed on the first frame blood flow image, the second frame blood flow image, and the third frame blood flow image, respectively.

In addition, when the aliasing index of each frame of blood flow image is determined, the aliasing index of each frame of blood flow image is not directly displayed, but the average value of the aliasing indexes of the plurality of frames of blood flow images is obtained, and the average value of the aliasing indexes is used for replacing the aliasing index of the plurality of frames of blood flow images, namely, the aliasing index of each frame of blood flow images in the plurality of frames of blood flow images is displayed as the average value.

The calculation of the aliasing index of the target region in each frame of the blood flow image, the determination of the aliasing region, and the display are the same as the above-described processing method for the current frame of the blood flow image, and the description thereof is omitted. That is, the processing method for each frame of the blood flow image and the ROI and the non-region of interest in the blood flow image is the same as the above-described processing method for each frame of the blood flow image, and the description thereof will not be repeated.

Embodiments of the present application further provide a computer storage medium, in which a computer program is stored, where the computer program is executed by a processor to implement part or all of the steps of any one of the above-mentioned method embodiments of aliasing index display method for blood flow imaging.

Embodiments of the present application further provide a computer storage medium, in which a computer program is stored, where the computer program is executed by a processor to implement part or all of the steps of any one of the aliasing region display methods for blood flow images as described in the above method embodiments.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the above-described method embodiments of aliasing index display method for blood flow imaging.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer program being operable to cause a computer to perform part or all of the steps of any one of the aliasing region display methods for blood flow images as described in the above method embodiments.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.

The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A method of displaying an aliasing index for blood flow imaging, comprising:

displaying the aliasing index.

2. The method of claim 1, wherein displaying the aliasing index comprises:

acquiring the aliasing index of a target area of each frame of blood flow image in the previous N frames of blood flow images corresponding to the current frame of blood flow images;

determining a final aliasing index of a target region of the current frame blood flow image according to the aliasing index of the target region of each frame of blood flow image in the former N frames of blood flow images and the aliasing index of the target region of the current frame blood flow image;

and displaying the final aliasing index.

3. The method of claim 1 or 2, wherein the target region comprises the entire current frame blood flow image, and wherein determining the aliasing index of the target region of the current frame blood flow image comprises:

determining a first aliasing index of the whole current frame blood flow image, wherein the first aliasing index is used for representing the degree of aliasing of the whole blood flow region of the current frame blood flow image.

4. The method according to claim 1 or 2, wherein the target region comprises a region of interest ROI framed in the current frame blood flow image, and the determining of the aliasing index of the target region of the current frame blood flow image comprises:

determining a second aliasing index for the ROI, the second aliasing index being used to characterize a degree to which aliasing occurs in a blood flow region of the ROI.

5. The method according to claim 1 or 2, wherein the target region comprises a region of non-interest, and the determining the aliasing index of the target region of the current frame blood flow image comprises:

obtaining an ROI framed and selected by a user in the current frame blood flow image;

determining a third aliasing index of the region of non-interest, wherein the region of non-interest is all regions except the ROI in the blood flow image of the current frame, and the third aliasing index is used for representing the degree of aliasing of the blood flow region of the region of non-interest.

6. The method of any one of claims 1-5, wherein the target region comprises one or more of the entire current frame blood flow image, a ROI, and a region of non-interest, the aliasing index comprising one or more of a first aliasing index corresponding to the entire blood flow region, a second aliasing index corresponding to the ROI, and a third aliasing index corresponding to the region of non-interest;

the displaying the aliasing index comprises:

displaying one or more of the first aliasing index, the second aliasing index, and the third aliasing index.

7. The method of any one of claims 1-6, wherein prior to determining the aliasing index of the target region of the current frame blood flow image, the method further comprises:

determining pixel points subjected to aliasing in a blood flow region of a target region of the current frame blood flow image;

the determining the aliasing index of the target region of the current frame blood flow image comprises the following steps:

if the target region is the whole current frame blood flow image, the aliasing index is a first aliasing index representing the aliasing degree of the whole blood flow region of the current frame blood flow image, if the target region is the ROI, the aliasing index is a second aliasing index representing the aliasing degree of the blood flow region of the ROI, if the target region is the non-interesting region, the aliasing index is a third aliasing index representing the aliasing degree of the blood flow region of the non-interesting region.

8. The method of any one of claims 1-6, wherein prior to determining the aliasing index of the target region of the current frame blood flow image, the method further comprises:

determining an aliasing region formed by aliasing pixels in the blood flow region of the target region;

determining a ratio of an area of the aliasing region to an area of a blood flow region of the target region as an aliasing index of the target region;

if the target region is the whole current frame blood flow image, the aliasing index is a first aliasing index representing the aliasing degree of the whole blood flow region of the current frame blood flow image, if the target region is the region of interest, the aliasing index is a second aliasing index representing the aliasing degree of the blood flow region of the ROI, if the target region is the region of non-interest, the aliasing index is a third aliasing index representing the aliasing degree of the blood flow region of the region of non-interest.

9. The method according to claim 7 or 8, wherein the determining pixel points where aliasing occurs in the blood flow region of the target region of the current frame blood flow image comprises:

determining a first pixel set subjected to aliasing in a blood flow region of a target region of the current frame blood flow image, wherein the first pixel set comprises at least one pixel point;

and determining pixel points with aliasing in the blood flow region of the target region of the current frame blood flow image according to the first pixel set and the second pixel set.

10. The method of claim 9, wherein determining the first set of pixels in which aliasing occurs in the blood flow region of the target region of the blood flow image of the current frame comprises:

determining a first blood flow velocity of a space point A ', wherein the space point A' is a space point corresponding to a pixel point A, and the pixel point A is any one pixel point in a blood flow region of a target region of the current frame blood flow image;

acquiring a second blood flow velocity of a space point A ', wherein the space point A' is a space point corresponding to the pixel point A in a previous frame or a next frame blood flow image;

obtaining a difference between the first blood flow velocity and the second blood flow velocity;

acquiring a first threshold corresponding to a frame interval, wherein the frame interval is a time interval between the current frame blood flow image and the previous frame or the next frame blood flow image;

if the difference value is larger than the first threshold value, determining the pixel point A as a pixel point with aliasing;

wherein the first set of pixels includes all aliasing-occurring pixel points determined in the first aliasing determining step.

11. The method of claim 9, wherein determining the first set of pixels in which aliasing occurs in the blood flow region of the target region of the blood flow image of the current frame comprises:

determining a first blood flow velocity corresponding to a space point A ', wherein the space point A' is a space point corresponding to a pixel point A, and the pixel point A is any one pixel point in a blood flow region of a target region of the current frame blood flow image;

determining a second blood flow velocity corresponding to a space point B ', wherein the space point B' is a space point corresponding to a pixel point B, and the pixel point B is an adjacent pixel point of the pixel point A;

if the difference value is larger than the second threshold value, determining the pixel point A as a pixel point with aliasing;

wherein the first set of pixels includes all aliasing-occurring pixel points determined in the second aliasing determining step.

12. The method of claim 9, wherein determining the first set of pixels in which aliasing occurs in the blood flow region of the target region of the blood flow image of the current frame comprises:

determining a third blood flow velocity corresponding to a space point B ', wherein the space point B' is a space point corresponding to a pixel point B, and the pixel point B is an adjacent pixel point of the pixel point A;

obtaining a first difference between the first blood flow velocity and the second blood flow velocity;

obtaining a second difference between the first blood flow velocity and the third blood flow velocity;

if the first difference is greater than the first threshold or the second difference is greater than the second threshold, determining the pixel point A as an aliasing pixel point;

wherein the first set of pixels includes all aliasing-occurring pixel points determined in the third aliasing determining step.

13. The method of claim 9, wherein determining the first set of pixels in which aliasing occurs in the blood flow region of the target region of the blood flow image of the current frame comprises:

determining a first vector blood flow velocity corresponding to a space point A ', wherein the space point A' is a space point corresponding to a pixel point A, and the pixel point A is any one pixel point in a blood flow region of a target region of the current frame blood flow image;

obtaining a velocity direction difference of the first vector blood flow velocity and the second vector blood flow velocity;

if the speed direction difference value is larger than the second threshold value, determining the pixel point A as an aliasing pixel point;

wherein the first set of pixels includes all aliasing-occurring pixel points determined in the fourth aliasing determining step.

14. The method of claim 10, wherein determining the aliasing index of the target region of the current frame blood flow image comprises:

obtaining a difference value between the first blood flow velocity and the second blood flow velocity of each pixel point of the first pixel set in the blood flow region of the target region at a current frame and a previous frame or a space point corresponding to the current frame and the next frame, so as to obtain a first difference value set;

obtaining a difference value between the first blood flow velocity and the second blood flow velocity of each pixel point of the second pixel set in the blood flow region of the target region between the current frame and the previous frame or between the current frame and the next frame, so as to obtain a second difference value set;

15. The method of claim 11, wherein determining the aliasing index of the target region of the current frame blood flow image comprises:

obtaining a difference value between the first blood flow velocity and the second blood flow velocity of each pixel point of a first pixel set in the blood flow region of the target region and a space point corresponding to an adjacent pixel point to obtain a third difference value set;

obtaining a difference value between the first blood flow velocity and the second blood flow velocity of each pixel point of a second pixel set in the blood flow region of the target region and a space point corresponding to an adjacent pixel point to obtain a fourth difference value set;

16. The method of claim 13, wherein determining the aliasing index of the target region of the current frame blood flow image comprises:

acquiring a speed direction difference value of the first vector blood flow speed and the second vector blood flow speed of each pixel point of a first pixel set in the blood flow area of the target area and a space point corresponding to an adjacent pixel point to obtain a fifth difference value set;

acquiring a speed direction difference value of the first vector blood flow speed and the second vector blood flow speed of each pixel point of a second pixel set in the blood flow area of the target area and a space point corresponding to an adjacent pixel point to obtain a sixth difference value set;

17. The method of claim 1, further comprising:

receiving an operation instruction for de-aliasing;

and responding to the operation instruction, performing de-aliasing treatment on at least one of the whole current frame blood flow image, the ROI selected from the current frame blood flow image and the non-ROI except the ROI in the current frame blood flow image, and displaying the de-aliased blood flow image.

18. The method according to any one of claims 3-16, further comprising:

when the first aliasing index is larger than a first aliasing threshold, performing de-aliasing processing on the whole current frame blood flow image, and displaying the de-aliased and overlapped blood flow image; and/or the presence of a gas in the gas,

when the second aliasing index is larger than a second aliasing threshold, performing aliasing removal processing on the ROI, and displaying a blood flow image after aliasing removal; and/or the presence of a gas in the gas,

and when the third aliasing index is larger than a third aliasing threshold, performing de-aliasing processing on the non-interested region, and displaying the de-aliased blood flow image.

19. The method of claim 18, further comprising:

stopping performing de-aliasing processing on the whole current frame blood flow image when the first aliasing index is smaller than the first aliasing threshold; and/or the presence of a gas in the gas,

stopping the antialiasing processing on the region of interest when the second aliasing index is less than the second aliasing threshold; and/or the presence of a gas in the gas,

stopping the de-aliasing processing of the region of non-interest when the third aliasing index is less than the third aliasing threshold.

20. The method of claim 1, wherein the blood flow image comprises a color doppler ultrasound blood flow image and/or an ultrasound vector blood flow image.

21. A method for displaying an aliasing region of a blood flow image, comprising:

determining an aliasing region formed by pixel points which are subjected to aliasing in a blood flow region of a target region of the current frame blood flow image;

displaying the aliasing region.

22. The method of claim 21, wherein the determining pixel points in the blood flow region of the target region of the current frame blood flow image where aliasing occurs comprises:

23. The method according to claim 21 or 22, wherein the target region comprises the whole current frame blood flow image, and the determining of the pixel points where aliasing occurs in the blood flow region of the target region of the current frame blood flow image comprises:

24. The method according to claim 21 or 22, wherein the target region comprises a region of interest ROI framed in the current frame blood flow image, and the determining pixel points where aliasing occurs in the blood flow region of the target region of the current frame blood flow image comprises:

25. The method according to claim 21 or 22, wherein the target region comprises a region of non-interest, and the determining pixel points where aliasing occurs in the blood flow region of the target region of the current frame blood flow image comprises:

and determining a third aliasing region composed of pixel points which are aliased in the blood flow region of the non-interesting region, wherein the non-interesting region is all regions except the ROI in the current frame blood flow image.

26. The method of claim 21, wherein the target region comprises one or more of the entire current frame blood flow image, a ROI, and a region of non-interest, wherein the aliasing region comprises one or more of a first aliasing region corresponding to the entire current frame blood flow image, a second aliasing region corresponding to the ROI, and a third aliasing region corresponding to the region of non-interest;

the displaying the aliased region, comprising:

displaying one or more of the first aliasing region, the second aliasing region, and the third aliasing region.

27. The method of claim 22, wherein determining the first set of pixels in which aliasing occurs in the blood flow region of the target region of the blood flow image of the current frame comprises:

28. The method of claim 22, wherein determining the first set of pixels in which aliasing occurs in the blood flow region of the target region of the blood flow image of the current frame comprises:

29. The method of claim 22, wherein determining the first set of pixels in which aliasing occurs in the blood flow region of the target region of the blood flow image of the current frame comprises:

30. The method of claim 22, wherein determining the first set of pixels in which aliasing occurs in the blood flow region of the target region of the blood flow image of the current frame comprises:

31. The method according to any one of claims 21-30, further comprising:

determining an aliasing index for the target region;

synchronously displaying the aliasing index of the target region when displaying the aliasing region corresponding to the target region;

the target region comprises one or more of the whole current frame blood flow image, ROI and non-interested region; the aliasing region comprises one or more of a first aliasing region corresponding to the whole current frame blood flow image, a second aliasing index corresponding to the ROI and a third aliasing region corresponding to the non-interest region; the aliasing index comprises one or more of a first aliasing index corresponding to the whole current frame blood flow image, a second aliasing index corresponding to the ROI and a third aliasing index corresponding to the non-interesting region.

32. The method of claim 31, wherein said synchronously displaying the aliasing index of the target region comprises:

acquiring the aliasing index of a target area of each frame of blood flow image in the previous N frames of blood flow images corresponding to the whole current frame of blood flow image;

determining a final aliasing index of a target region of the whole current frame blood flow image according to the aliasing index of the target region of each frame blood flow image in the former N frames blood flow images and the aliasing index of the target region of the whole current frame blood flow image;

and displaying the final aliasing index.

33. The method of claim 31 or 32, wherein determining the aliasing index of the target region comprises:

determining the ratio of the number of pixels subjected to aliasing in the blood flow region of the target region to the total number of pixels in the blood flow region of the target region as an aliasing index of the target region.

34. The method of claim 31 or 32, wherein determining the aliasing index of the target region comprises:

determining the ratio of the area of an aliasing region corresponding to the blood flow region of the target region to the area of the blood flow region of the target region as an aliasing index of the target region.

35. The method of any of claims 21-34, wherein an aliasing region comprises a first boundary and a first boundary range formed by the first boundary, the method further comprising:

displaying the first border in a first color and the first border range in a second color.

36. The method of claim 21, further comprising:

receiving an operation instruction for de-aliasing;

37. The method of claim 21, wherein the blood flow image comprises a color doppler ultrasound blood flow image and/or an ultrasound vector blood flow image.

38. An aliasing index display device for blood flow imaging, comprising: the device comprises a probe, a transmitting circuit, a receiving circuit, a processor and a display;

the processor to perform or control the transmit circuitry, receive circuitry, or display to perform the method of any of claims 1-20.

39. An aliasing region display device for a blood flow image, comprising: the device comprises a probe, a transmitting circuit, a receiving circuit, a processor and a display;

the processor to perform or control the transmit circuitry, receive circuitry, or display to perform the method of any of claims 21-37.

40. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which is executed by a processor to implement the method according to any of claims 1-20 or 21-37.