CN112037163B - A method and device for automatically measuring blood flow based on ultrasonic images - Google Patents
A method and device for automatically measuring blood flow based on ultrasonic images Download PDFInfo
- Publication number
- CN112037163B CN112037163B CN201910416611.7A CN201910416611A CN112037163B CN 112037163 B CN112037163 B CN 112037163B CN 201910416611 A CN201910416611 A CN 201910416611A CN 112037163 B CN112037163 B CN 112037163B
- Authority
- CN
- China
- Prior art keywords
- blood vessel
- blood flow
- image
- ultrasonic
- blood
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
- G06T2207/30104—Vascular flow; Blood flow; Perfusion
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Ultra Sonic Daignosis Equipment (AREA)
Abstract
The invention discloses a blood flow automatic measurement method and device based on an ultrasonic image, wherein the method comprises the steps of obtaining a blood vessel ultrasonic image of a target object in a preset time in a first detection mode, and obtaining an ultrasonic Doppler image of the target object in a preset time in a second detection mode; the method comprises the steps of identifying the blood vessel wall position of blood vessel tissue in a target object according to a blood vessel ultrasonic image, obtaining the blood flow velocity of the blood vessel tissue in a preset time according to an ultrasonic Doppler image, and calculating the blood flow information of the blood vessel tissue according to the blood vessel wall position and the blood flow velocity in the preset time. The blood flow measuring method is simpler in operation flow, does not need medical staff to manually mark and switch image modes back and forth, improves the checking efficiency, calculates the blood flow by utilizing the blood vessel diameter data and the blood flow speed data in the preset time, has more robustness in the blood flow calculating result, reduces random interference caused by instantaneous measurement, and enables the measuring result to be more accurate.
Description
Technical Field
The invention relates to the technical field of blood flow measurement, in particular to an automatic blood flow measurement method and device based on an ultrasonic image.
Background
Ultrasound imaging is an important tool for medical diagnosis, and doctors can acquire different types of diagnostic information through ultrasound images of different modes. Blood flow is an important index for assessing vascular function, and can indirectly assess circulatory system function of a human body. Thus, clinically, measurements of blood flow are used to assess vascular performance.
The ultrasonic device in the B mode can acquire the shape, diameter, position and other information of the blood vessel, and the ultrasonic device in the PW mode can acquire the speed information of the blood flow. For human blood vessels, the blood flow information of the corresponding positions of the blood vessels can be obtained by combining the blood flow information and the blood flow information. The current blood flow measurement in clinical diagnosis is mainly to manually mark the diameters of the corresponding positions of blood vessels by a mode of operating a track ball by an ultrasonic doctor, and then calculate the corresponding blood flow by using the speed information measured in a PW mode.
At present, the blood flow measurement in clinical diagnosis is mainly realized by a mode that an ultrasonic doctor operates a track ball, the diameter of a blood vessel image is measured manually, the blood flow velocity of a Doppler image is measured, the corresponding blood flow is calculated, and the unnecessary time cost is increased and the detection efficiency is greatly influenced by multiple operations in different modes. Therefore, in blood flow measurement in an ultrasound image, it is important to realize automatic measurement of blood flow.
Disclosure of Invention
In view of the above, the embodiment of the invention provides an automatic blood flow measuring method and device based on an ultrasonic image, so as to solve the problems of complicated operation, long time consumption and low detection efficiency of the existing manual measurement in the blood flow measurement of the ultrasonic image.
According to a first aspect, the present invention provides an ultrasound image-based blood flow automatic measurement method, comprising:
acquiring a blood vessel ultrasonic image of a target object in a preset time in a first detection mode, and acquiring an ultrasonic Doppler image of the target object in a preset time in a second detection mode;
identifying a vessel wall position of a vessel tissue in a target object according to the vessel ultrasonic image;
Acquiring the blood flow speed of vascular tissue in preset time according to the ultrasonic Doppler image;
Calculating blood flow information of blood vessel tissues according to the blood vessel wall position and the blood flow velocity in the preset time;
And marking the blood flow information on the blood vessel ultrasonic image.
With reference to the first aspect, in an implementation manner of the first aspect, before the calculating blood flow information of the blood vessel tissue according to the blood vessel wall position and the blood flow velocity within the preset time, the method further includes:
and screening the blood flow velocity in the blood vessel wall position and the preset time.
With reference to the first aspect, in an implementation manner of the first aspect, the screening the blood vessel wall position and the blood flow velocity within a preset time includes:
Screening out a blood flow periodic signal of a time period from a blood flow velocity image within a preset time;
and calculating the blood vessel diameter information from images of multiple frames of blood vessel wall positions according to the time period of the blood flow periodic signal.
With reference to the first aspect, in an implementation manner of the first aspect, the acquiring an ultrasound image of a blood vessel of the target object in a preset time in the first detection mode and acquiring an ultrasound doppler image of the target object in a preset time in the second detection mode includes:
Transmitting second ultrasonic waves in the same direction to a region containing vascular tissues in the target object, receiving second echo signals, and acquiring ultrasonic Doppler images of the target object within preset time;
transmitting a first ultrasonic wave to a region containing vascular tissue in a target object, receiving a first echo signal, acquiring a first vascular ultrasonic image of the target object within a preset time, and/or
Transmitting a third ultrasonic wave to a region containing vascular tissues in the target object, receiving a third echo signal, and acquiring a second vascular ultrasonic image of the target object within a preset time.
With reference to the first aspect, in an implementation manner of the first aspect, the identifying a vessel wall position of a vessel tissue in a target object according to the vessel ultrasound image includes:
preprocessing boundary characteristics of the blood vessel ultrasonic image;
dividing the preprocessed blood vessel ultrasonic image to obtain a binary image containing a blood vessel wall;
Setting a sampling gate to a blood flow region of a currently corresponding blood vessel ultrasonic image, and identifying the position of a blood vessel wall in the binary image according to the position information of the sampling gate.
With reference to the first aspect, in an implementation manner of the first aspect, the preprocessing the boundary characteristic of the blood vessel ultrasound image includes:
carrying out noise reduction treatment on the obtained blood vessel ultrasonic image;
And carrying out anisotropic treatment on the vascular ultrasonic image after the noise reduction treatment.
With reference to the first aspect, in an implementation manner of the first aspect, the performing a segmentation process on the preprocessed vascular ultrasound image to obtain a binary image including a vascular wall includes:
acquiring the edge contour of a blood vessel ultrasonic image;
and performing binary conversion on the blood vessel ultrasonic image according to the edge profile to obtain a binary image containing a blood vessel wall after segmentation.
According to a second aspect, an embodiment of the present invention further provides an apparatus for automatically measuring blood flow of an ultrasound image, including:
The data acquisition unit scans the target object through the ultrasonic probe in a first detection mode to obtain a blood vessel ultrasonic image in a preset time, and scans the target object in a second detection mode to obtain an ultrasonic Doppler image in the preset time;
a blood vessel diameter measurement unit that identifies a blood vessel wall position of a blood vessel tissue in a target object from the blood vessel ultrasonic image and calculates a blood vessel wall diameter;
The blood flow velocity detection unit acquires the blood flow velocity of vascular tissue in preset time according to the ultrasonic Doppler image in the preset time;
A blood flow amount calculation unit that calculates blood flow amount information of the blood vessel tissue based on the blood vessel wall position and the blood flow velocity within a preset time;
and the calculation result display unit marks the blood flow information on the blood vessel ultrasonic image.
According to a third aspect, an embodiment of the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the above-mentioned ultrasound image-based automatic blood flow measurement method when executing the computer program.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions for causing the computer to execute the above-described blood flow automatic measurement method of an ultrasound image.
According to the embodiment of the invention, the blood vessel wall position can be determined by acquiring the blood vessel ultrasonic image of the target object in the preset time in the first detection mode, then acquiring the ultrasonic Doppler image of the target object in the preset time in the second detection mode, acquiring the blood flow velocity of blood vessel tissues in the preset time, screening the blood flow velocity in the preset time and the blood vessel wall position, acquiring the optimal blood flow velocity period and the blood vessel diameter, and calculating the blood flow information of the blood vessel tissues through the optimal blood flow velocity period and the blood vessel diameter.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an ultrasound image blood flow automatic measurement method according to an embodiment of the present invention;
FIG. 2 is a graph showing the effect of blood flow measurement in the prior art;
FIG. 3 is a second effect diagram of the blood flow measurement in the prior art;
FIG. 4 is a graph showing the effect of blood flow measurement in an embodiment of the present invention;
FIG. 5 is a schematic view of the structure of an automatic ultrasonic image blood flow measuring device according to an embodiment of the present invention;
FIG. 6 is a signal flow diagram of automatic measurement of blood flow in an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In accordance with an embodiment of the present invention, an embodiment of an ultrasound image based automatic blood flow measurement method is provided, it being noted that although a logical sequence is shown in the flowchart, in some cases the steps shown or described may be performed in a different order than that shown.
Referring to fig. 1-4, in one embodiment, a method for obtaining blood flow in an ultrasound image is provided, comprising the steps of:
s1, acquiring a blood vessel ultrasonic image of a target object in a preset time in a first detection mode, and acquiring an ultrasonic Doppler image of the target object in a preset time in a second detection mode.
Specifically, the target object may be a tubular tissue structure with flowing substances such as organs, tissues, blood vessels and the like in a human body or an animal body, and the obtained blood vessel ultrasonic image within a preset time should have distinguishable blood vessel wall structural characteristics.
In this embodiment, the first detection mode may be an ultrasonic B mode, an ultrasonic B mode and an ultrasonic C mode, the ultrasonic C mode may be selectively selected, and the second detection mode may be an ultrasonic PW mode. The ultrasonic B mode specifically comprises the steps of transmitting first ultrasonic waves to a region containing vascular tissues in a target object, receiving a first echo signal, obtaining a first vascular ultrasonic image of the target object within preset time, transmitting second ultrasonic waves in the same direction to the region containing vascular tissues in the target object in an ultrasonic PW mode specifically comprises the steps of receiving the second echo signal, obtaining an ultrasonic Doppler image of the target object within the preset time, transmitting third ultrasonic waves to the region containing vascular tissues in the target object in an ultrasonic C mode specifically comprises the steps of receiving the third echo signal, and obtaining a second ultrasonic blood flow image of the target object within the preset time.
S2, identifying the blood vessel wall position of blood vessel tissue in the target object according to the blood vessel ultrasonic image.
Specifically, a sampling gate is set to a blood flow region of a currently corresponding blood vessel ultrasonic image, the position of the sampling gate is displayed on a spatial three-dimensional display device as a position with distinguishable structural characteristics of a blood vessel wall in the blood vessel ultrasonic image, and the position information of the sampling gate is used as a reference in the process of determining the position of the blood vessel wall.
In the first implementation manner of this embodiment, the first detection mode adopts the ultrasound B mode, and since the blood vessel wall belongs to the high echo medium, the blood vessel wall appears as a high brightness region in the blood vessel ultrasound image acquired in the ultrasound B mode, and the blood belongs to the low echo medium, the blood vessel wall appears as a low brightness region in the blood vessel ultrasound image acquired in the ultrasound B mode, the blood vessel wall can be distinguished in the blood vessel ultrasound image according to the characteristics. In a specific operation, the vessel wall is determined according to the position information of the sampling gate and an image segmentation algorithm. Image segmentation algorithms include, but are not limited to, threshold image segmentation algorithms, edge detection algorithms, image segmentation algorithms based on deep learning techniques, and the like.
Before the image segmentation algorithm is adopted to segment the blood vessel ultrasonic image to obtain a binary image containing the blood vessel wall structure, an optimization algorithm is adopted to pretreat the blood vessel ultrasonic image so as to enhance the gray level difference between the blood vessel structure and surrounding tissues in the blood vessel ultrasonic image, improve the contrast of the blood vessel wall structure and increase the accuracy of the subsequent segmentation.
The step of preprocessing the blood vessel ultrasonic image includes performing noise reduction processing and anisotropic processing on the blood vessel ultrasonic image.
Since noise in blood vessels can cause the reduction of contrast of blood vessel ultrasonic images and reduce continuity of blood vessels, the noise in blood vessels needs to be suppressed, and imaging quality of blood vessel ultrasonic images is improved. The noise is mainly represented as speckle noise, and in this embodiment, gamma transformation is used to perform noise reduction processing on the blood vessel ultrasonic image, so as to enhance a blood vessel structure with higher brightness and reduce the influence of noise. In other embodiments, noise reduction may also be performed using methods such as, but not limited to, gaussian filtering, histogram equalization, and prescriptions.
The continuity and edge sharpness of the blood vessel wall structure in the blood vessel ultrasonic image can be improved by the anisotropic treatment, so that the discernability of the blood vessel wall structure in the blood vessel ultrasonic image is improved, the subsequent image segmentation is facilitated, and the effective blood vessel wall position is conveniently obtained. In this embodiment, the image sharpening process is performed on the gray level of the vascular ultrasound image by using one-dimensional laplace filtering, and the smoothing process is performed on the gray level of the vascular ultrasound image by using median or mean filtering. In other embodiments, other filtering methods may be used for the image sharpening and smoothing.
In a second implementation manner of the present embodiment, the first detection mode is an ultrasound B mode plus an ultrasound C mode, and the blood vessel wall is determined by dividing the blood vessel ultrasound image of the sampling gate position area by combining blood flow information of the blood vessel ultrasound image and position information of the sampling gate based on an energy-based image dividing algorithm based on a first blood vessel ultrasound image acquired in the ultrasound B mode and a second blood vessel ultrasound image acquired in the ultrasound C mode. The energy-based image segmentation algorithm may be a snap algorithm or a level set algorithm.
In a third implementation of this embodiment, the first detection mode is an ultrasound B mode plus an ultrasound C mode, and the vessel wall is determined based on the second vessel ultrasound image acquired in the ultrasound C mode using the position information of the sampling gate and the speed and direction of blood flow in the second vessel ultrasound image.
In other implementations of the present embodiment, the image segmentation method may also be an image segmentation method of an active contour model or a cluster-based image segmentation method, which may also be based on differences in the physical characteristics and parameter settings of the probe and different types of ultrasonic diagnostic apparatuses.
S3, obtaining the blood flow speed of the vascular tissue in the preset time according to the ultrasonic Doppler image.
Specifically, in the ultrasound PW mode, a spectrum signal of the position of the sampling gate of the target object is obtained, and the blood flow velocity in a preset time at the position of the sampling gate is determined according to the spectrum signal.
S4, screening the blood vessel wall position and the blood flow speed in the preset time.
Specifically, a blood flow periodic signal with the best imaging quality is screened from images with the blood flow velocity in a preset time, the blood flow periodic signal in a time period from t1 to t2 in the graph can be obtained, meanwhile, the blood vessel wall position information of multiple frames in the preset time is screened, the optimal blood vessel wall position is selected, and the blood vessel diameter is calculated, for example, the optimal blood vessel diameter can be the average diameter of the blood vessel corresponding to one cardiac cycle in the time period from t1 to t 2. It should be noted that, step S4 is optionally selectable.
S5, calculating blood flow information of the blood vessel tissue according to the blood vessel wall position and the blood flow velocity in the preset time.
Since the cross section of the vascular structure in the target object is generally circular, the cross-sectional area at the position of the vascular diameter can be calculated from the vascular wall diameter obtained in step S3 or S4 according to the calculation formula of the circular area.
VF area=pi (VF Diam/2) 2, wherein VF Diam is preferably the average diameter of the blood vessel in a corresponding cardiac cycle in the period t1 to t2 in step S4.
The blood flow velocity at the position of the sampling gate can automatically calculate the maximum and average flow velocity according to the frequency spectrum signal obtained in the ultrasonic PW mode.
According to the flow calculation formula, the blood flow value is obtained by multiplying the blood flow velocity obtained in the ultrasound PW mode by the cross-sectional area. Since the blood flow velocity measured in the ultrasound PW mode includes the maximum value and the average value in one cycle, the blood flow obtained in step S5 is the average flow rate and the maximum flow rate in one cycle.
For the results obtained in the above steps, the calculated diameter needs to be reasonably marked in the blood vessel ultrasonic image in step S6, and the position of the diameter calculated in step S2 in the blood vessel ultrasonic image in the ultrasonic B mode needs to be marked in the blood vessel ultrasonic image, so that the visual impression of a doctor is met. Since the actual positions of the two walls of the blood vessel are not necessarily parallel, the diameter direction is not necessarily perpendicular to the two straight lines.
S6, marking blood flow information on the blood vessel ultrasonic image.
Further, the vessel wall diameter at the position corresponding to the blood flow information can be marked and displayed on the same position on the vessel ultrasonic image.
The blood vessel wall position can be determined by acquiring the blood vessel ultrasonic image of the target object in the preset time in the first detection mode, the blood flow velocity of blood vessel tissues in the preset time can be acquired by acquiring the ultrasonic Doppler image of the target object in the preset time in the second detection mode, compared with the prior art, the blood flow measuring mode is simpler in operation flow, the medical staff does not need to manually mark and switch the image mode back and forth, the examination efficiency is improved, and meanwhile blood flow calculation is performed by utilizing blood vessel diameter data and blood flow velocity data in the preset time. In addition, the blood flow velocity in the blood vessel wall position and the preset time is screened, the optimal blood flow velocity period and the blood vessel diameter can be obtained, and then the blood flow information of the blood vessel tissue is calculated through the optimal blood flow velocity period and the blood vessel diameter, so that the blood flow calculation result is more robust, the random interference caused by instantaneous measurement is reduced, and the measurement result is more accurate.
In the second embodiment, as shown in fig. 5, the embodiment of the invention further provides an automatic blood flow detection device based on an ultrasonic image, which comprises a data acquisition unit 1, a blood vessel diameter measurement unit 2, a blood flow velocity detection unit 3, a blood flow calculation unit 5 and a calculation result display unit 6.
The blood vessel diameter measuring unit 2 identifies the blood vessel wall position of blood vessel tissue in the target object according to the blood vessel ultrasonic image and calculates the blood vessel wall diameter, the blood flow velocity detecting unit 3 obtains the blood flow velocity of the blood vessel tissue in the preset time according to the ultrasonic Doppler image in the preset time, the blood flow volume calculating unit 5 calculates the blood flow information of the blood vessel tissue according to the screened blood vessel wall position and the blood flow velocity in the preset time, and the calculation result display unit 6 marks the blood flow information on the blood vessel ultrasonic image.
In a preferred implementation of the present embodiment, the blood flow amount automatic detection device further includes a blood vessel wall diameter and blood flow velocity screening unit 4, and the blood vessel wall diameter and blood flow velocity screening unit 4 screens the blood vessel wall position and the blood flow velocity within a preset time before performing the blood flow velocity calculation.
As shown in fig. 6, the embodiment of the present invention provides an operation flow of an automatic blood flow detection device for an ultrasound image, which specifically includes the following steps;
a1, acquiring a blood vessel ultrasonic image of a target object in a first detection mode through ultrasonic scanning;
a2, switching to a Doppler mode;
A3, selecting a measurement item:
a4, processing the blood vessel ultrasonic image and identifying the blood vessel wall;
a5, setting a sampling gate to a blood flow area of the current corresponding vascular ultrasonic image;
a6, judging the effectiveness of the diameter of the blood vessel wall;
A7, if the judging result of the step A6 is effective, taking the space between the centers of the upper tube wall and the lower tube wall at the position of the sampling gate as a blood vessel diameter output position;
A8, marking blood vessel diameter information in the blood vessel ultrasonic image;
A9, calculating the blood vessel area according to the output blood vessel diameter information;
a10, obtaining a maximum average blood flow speed according to the Doppler signals automatically identified;
a11, calculating average and maximum blood flow;
A12, if the judgment result in the step A6 is invalid, the manual measurement is automatically switched, and the step A9 is directly switched.
In some of the above embodiments, single point blood flow measurement is taken as an example, but the present invention is not limited to blood flow measurement at a single location, and blood flow measurement at multiple locations may be supported. Of course, in some embodiments, the single point blood flow may also be calculated by calculating an average of the blood flow measurements at points of the single point attachment, or the blood flow at a section of the blood vessel may be represented by calculating an average of the blood flow at a plurality of points contained in the section of the blood vessel.
It will be appreciated by those skilled in the art that all or part of the steps of the methods in the above embodiments may be implemented by a program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the storage medium may include a read-only memory, a random access memory, a magnetic disk or an optical disk, etc. Accordingly, the present application also discloses a storage medium storing a program for executing all or part of the steps of the various methods in the above-described embodiments, for example, a program for executing the blood flow volume obtaining method in an ultrasound image disclosed in any of the examples.
The foregoing is a further detailed description of the application in connection with specific embodiments, and it is not intended that the application be limited to such description. It will be apparent to those skilled in the art that several simple deductions or substitutions can be made without departing from the inventive concept.
Claims (10)
1. An automatic blood flow measurement method based on an ultrasonic image is characterized by comprising the following steps:
acquiring a blood vessel ultrasonic image of a target object in a preset time in a first detection mode, and acquiring an ultrasonic Doppler image of the target object in a preset time in a second detection mode;
The method comprises the steps of carrying out preprocessing on boundary characteristics of a blood vessel ultrasonic image, dividing the preprocessed blood vessel ultrasonic image to obtain a binary image containing a blood vessel wall, setting a sampling gate in a blood flow area of the blood vessel ultrasonic image corresponding to the current time, identifying the position of the blood vessel wall in the binary image according to the position information of the sampling gate, taking the distance between the centers of the upper wall and the lower wall of the position of the sampling gate as a blood vessel diameter output position, and marking the blood vessel diameter information on the blood vessel ultrasonic image;
Acquiring the blood flow speed of vascular tissue in preset time according to the ultrasonic Doppler image;
Calculating blood flow information of blood vessel tissues according to the blood vessel wall position and the blood flow velocity in the preset time;
And marking the blood flow information on the blood vessel ultrasonic image.
2. The method for automatically measuring blood flow based on ultrasonic images according to claim 1, wherein before calculating blood flow information of blood vessel tissue based on the blood vessel wall position and the blood flow velocity in a preset time, further comprising:
and screening the blood flow velocity in the blood vessel wall position and the preset time.
3. The method for automatically measuring blood flow based on ultrasonic images according to claim 2, wherein the screening of the blood flow velocity at the vessel wall position and for a preset time comprises:
Screening out a blood flow periodic signal of a time period from a blood flow velocity image within a preset time;
and calculating the blood vessel diameter information from images of multiple frames of blood vessel wall positions according to the time period of the blood flow periodic signal.
4. The automatic blood flow measuring method based on the ultrasonic image according to claim 3, wherein the calculated diameter is reasonably marked in the blood vessel ultrasonic image, and the blood vessel diameter at the position corresponding to the blood flow information is marked and displayed on the same position on the blood vessel ultrasonic image.
5. The method for automatically measuring blood flow based on ultrasonic image according to claim 1, wherein the steps of acquiring an ultrasonic image of a blood vessel of a target object in a first detection mode for a preset time and acquiring an ultrasonic doppler image of the target object in a second detection mode for a preset time include:
Transmitting second ultrasonic waves in the same direction to a region containing vascular tissues in the target object, receiving second echo signals, and acquiring ultrasonic Doppler images of the target object within preset time;
transmitting a first ultrasonic wave to a region containing vascular tissue in a target object, receiving a first echo signal, acquiring a first vascular ultrasonic image of the target object within a preset time, and/or
Transmitting a third ultrasonic wave to a region containing vascular tissues in the target object, receiving a third echo signal, and acquiring a second vascular ultrasonic image of the target object within a preset time.
6. The method for automatically measuring blood flow based on ultrasonic images according to claim 1, wherein the preprocessing of the boundary characteristics of the blood vessel ultrasonic images comprises:
carrying out noise reduction treatment on the obtained blood vessel ultrasonic image;
And carrying out anisotropic treatment on the vascular ultrasonic image after the noise reduction treatment.
7. The method for automatically measuring blood flow based on ultrasonic image according to claim 6, wherein the segmenting the preprocessed blood vessel ultrasonic image to obtain a binary image including a blood vessel wall comprises:
acquiring the edge contour of a blood vessel ultrasonic image;
and performing binary conversion on the blood vessel ultrasonic image according to the edge profile to obtain a binary image containing a blood vessel wall after segmentation.
8. An ultrasound image-based automatic blood flow measurement device, comprising:
the data acquisition unit (1) scans the target object through the ultrasonic probe in a first detection mode to obtain a blood vessel ultrasonic image in a preset time, and scans the target object in a second detection mode to obtain an ultrasonic Doppler image in the preset time;
A blood vessel diameter measuring unit (2) for identifying the position of the blood vessel wall of the blood vessel tissue in the target object according to the blood vessel ultrasonic image and calculating the blood vessel diameter, wherein the blood vessel diameter measuring unit (2) preprocesses the boundary characteristics of the blood vessel ultrasonic image, segments the preprocessed blood vessel ultrasonic image to obtain a binary image containing the blood vessel wall, sets a sampling gate in the blood flow area of the blood vessel ultrasonic image corresponding to the current time, identifies the position of the blood vessel wall in the binary image according to the position information of the sampling gate, takes the distance between the centers of the upper and lower walls of the position of the sampling gate as the output position of the blood vessel diameter, and marks the blood vessel diameter information on the blood vessel ultrasonic image;
a blood flow velocity detection unit (3) for acquiring the blood flow velocity of vascular tissue in a preset time according to the ultrasonic Doppler image in the preset time;
A blood flow amount calculation unit (5) for calculating blood flow amount information of the blood vessel tissue based on the blood vessel wall position and the blood flow velocity within a preset time;
and a calculation result display unit (6) for labeling the blood flow information on the blood vessel ultrasound image.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the ultrasound image based automatic blood flow measurement method according to any one of claims 1-7 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing the computer to execute the ultrasound image-based blood flow automatic measurement method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910416611.7A CN112037163B (en) | 2019-05-17 | 2019-05-17 | A method and device for automatically measuring blood flow based on ultrasonic images |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910416611.7A CN112037163B (en) | 2019-05-17 | 2019-05-17 | A method and device for automatically measuring blood flow based on ultrasonic images |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112037163A CN112037163A (en) | 2020-12-04 |
| CN112037163B true CN112037163B (en) | 2025-01-21 |
Family
ID=73576591
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910416611.7A Active CN112037163B (en) | 2019-05-17 | 2019-05-17 | A method and device for automatically measuring blood flow based on ultrasonic images |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112037163B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112603372A (en) * | 2020-12-22 | 2021-04-06 | 安徽医科大学第一附属医院 | Method for obtaining blood flow in ultrasonic image |
| WO2022141083A1 (en) * | 2020-12-29 | 2022-07-07 | 深圳迈瑞生物医疗电子股份有限公司 | Periodic parameter analysis method and ultrasonic imaging system |
| CN113850777B (en) * | 2021-09-18 | 2024-04-19 | 清华大学 | Data processing device, method, electronic device and storage medium |
| CN113749690B (en) * | 2021-09-24 | 2024-01-30 | 无锡祥生医疗科技股份有限公司 | Blood vessel blood flow measuring method, device and storage medium |
| CN113838028B (en) * | 2021-09-24 | 2024-08-06 | 无锡祥生医疗科技股份有限公司 | Carotid artery ultrasonic automatic Doppler method, ultrasonic equipment and storage medium |
| CN113940701B (en) * | 2021-10-11 | 2024-10-18 | 什维新智医疗科技(上海)有限公司 | Thyroid-based tracheal and vascular detection device |
| CN114881974A (en) * | 2022-05-11 | 2022-08-09 | 上海联影医疗科技股份有限公司 | Medical image analysis method and system |
| CN114869335B (en) * | 2022-04-07 | 2023-12-08 | 皖南医学院第一附属医院（皖南医学院弋矶山医院） | A method and equipment for measuring local blood flow index |
| CN116531089B (en) * | 2023-07-06 | 2023-10-20 | 中国人民解放军中部战区总医院 | Image-enhancement-based blocking anesthesia ultrasonic guidance data processing method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107157515A (en) * | 2017-05-12 | 2017-09-15 | 无锡祥生医学影像有限责任公司 | Ultrasound detection vascular system and method |
| JP2017189192A (en) * | 2016-04-11 | 2017-10-19 | 株式会社日立製作所 | Ultrasonic diagnostic apparatus |
| CN109350122A (en) * | 2018-09-29 | 2019-02-19 | 北京智影技术有限公司 | A kind of flow automatic estimating method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IL122130A0 (en) * | 1996-11-08 | 1998-04-05 | Atl Ultrasound Inc | Ultrasonic diagnostic imaging system with real time volume flow calculation |
| IL127112A0 (en) * | 1998-11-18 | 1999-09-22 | Biosonix Ltd | System for measuring flow and method therefor |
| US12000968B2 (en) * | 2016-02-29 | 2024-06-04 | B-K Medical Aps | 2D ultrasound imaging with pulsed wave Doppler or color flow imaging |
-
2019
- 2019-05-17 CN CN201910416611.7A patent/CN112037163B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017189192A (en) * | 2016-04-11 | 2017-10-19 | 株式会社日立製作所 | Ultrasonic diagnostic apparatus |
| CN107157515A (en) * | 2017-05-12 | 2017-09-15 | 无锡祥生医学影像有限责任公司 | Ultrasound detection vascular system and method |
| CN109350122A (en) * | 2018-09-29 | 2019-02-19 | 北京智影技术有限公司 | A kind of flow automatic estimating method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112037163A (en) | 2020-12-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112037163B (en) | A method and device for automatically measuring blood flow based on ultrasonic images | |
| US8050478B2 (en) | Method and apparatus for tissue border detection using ultrasonic diagnostic images | |
| US11191518B2 (en) | Ultrasound system and method for detecting lung sliding | |
| US7678052B2 (en) | Method and apparatus for detecting anatomic structures | |
| CN110325119B (en) | Ovarian follicle count and size determination | |
| US6994673B2 (en) | Method and apparatus for quantitative myocardial assessment | |
| CN103260526B (en) | There is ultrasonic image-forming system and the method for peak strength measuring ability | |
| US20110208061A1 (en) | Ultrasonic lesion identification using temporal parametric contrast images | |
| US20100322495A1 (en) | Medical imaging system | |
| CN111354006B (en) | Method and device for tracing target tissue in ultrasonic image | |
| JP7041147B2 (en) | Systems and methods that characterize hepatic perfusion of contrast medium flow | |
| KR101334064B1 (en) | Apparatus and method for measureing velocity vector imaging of blood vessel | |
| JP2014525328A (en) | How to detect and track a needle | |
| US20180161009A1 (en) | Ultrasonic diagnosis of cardiac performance using heart model chamber segmentation with user control | |
| JP2020503099A (en) | Prenatal ultrasound imaging | |
| EP0533782A4 (en) | ||
| US12148158B2 (en) | System and method for detecting and quantifying a plaque/stenosis in a vascular ultrasound scan data | |
| US11278259B2 (en) | Thrombus detection during scanning | |
| JP7346266B2 (en) | Ultrasonic imaging system and method for displaying target object quality level | |
| JP5579535B2 (en) | Ultrasound system and method for measuring fetal rib count | |
| CN107169978A (en) | Ultrasonoscopy edge detection method and system | |
| JP4268695B2 (en) | Diagnostic imaging apparatus and ultrasonic diagnostic apparatus | |
| KR101511300B1 (en) | Method for measuring diameter of vessel | |
| CN112826535B (en) | Method, device and equipment for automatically positioning blood vessel in ultrasonic imaging | |
| CN117562641B (en) | Ultrasonic intervention puncture needle guiding monitoring system and monitoring method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |