Disclosure of Invention
The invention mainly aims to provide a three-dimensional ultrasonic imaging method, a three-dimensional ultrasonic imaging device, three-dimensional ultrasonic imaging equipment and a storage medium, and aims to solve the technical problem that a user cannot know an abnormal area of a sample more intuitively because a method for constructing a color image is not provided in the conventional three-dimensional ultrasonic imaging scheme.
In order to achieve the above object, the present invention provides a three-dimensional ultrasound imaging method, comprising the steps of:
acquiring a plurality of continuous contrast data and tissue data of a target sample;
performing three-dimensional reconstruction on the contrast data and the tissue data to obtain three-dimensional data;
respectively carrying out color coding on the contrast data, the tissue data and the three-dimensional data to obtain color two-dimensional data and color three-dimensional data;
and performing data analysis on the color two-dimensional data and the color three-dimensional data to obtain corresponding sampling perfusion parameters, and determining an abnormal area of the target sample according to the sampling perfusion parameters.
Optionally, the color coding the contrast data, the tissue data, and the three-dimensional data to obtain color two-dimensional data and color three-dimensional data includes:
respectively determining gray scale intensity corresponding to each pixel point in the contrast data, the tissue data and the three-dimensional data;
searching for the coding color corresponding to each pixel point according to the gray scale intensity;
and carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the coding color corresponding to each pixel point to obtain color two-dimensional data and color three-dimensional data.
Optionally, before searching for the encoding color corresponding to each pixel point according to the gray-scale intensity, the method further includes:
defining gray scale intensities of different levels;
determining a plurality of colors selected by a user;
generating a gradient coding color level according to the plurality of colors;
determining the coding color corresponding to each gray scale intensity according to the total level number corresponding to the gray scale intensity;
and storing the gray scale intensities of different levels and the corresponding encoding colors.
Optionally, the color coding the contrast data, the tissue data, and the three-dimensional data to obtain color two-dimensional data and color three-dimensional data includes:
respectively determining the arrival time of the contrast agent corresponding to each pixel point in the contrast data, the tissue data and the three-dimensional data;
searching a corresponding current coding color according to the arrival time of the contrast agent;
and carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the current coding color corresponding to each pixel point to obtain color two-dimensional data and color three-dimensional data.
Optionally, before the color coding is performed on the contrast data, the tissue data, and the three-dimensional data to obtain color two-dimensional data and color three-dimensional data, the method further includes:
acquiring a coding strategy selection instruction input by a user;
determining a corresponding coding strategy according to the coding strategy selection instruction;
the color coding the contrast data, the tissue data and the three-dimensional data to obtain color two-dimensional data and color three-dimensional data respectively comprises:
and respectively carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the coding strategy to obtain color two-dimensional data and color three-dimensional data.
Optionally, the acquiring a plurality of consecutive contrast data and tissue data of the target sample comprises:
acquiring a preset region of interest, an imaging mode, a filtering strategy and imaging parameters;
controlling an injection device to inject a contrast agent into the target sample;
controlling an acquisition device to perform two-dimensional scanning according to the region of interest, the imaging mode and the imaging parameters;
and filtering the imaging data obtained by scanning according to the filtering strategy to obtain a plurality of continuous contrast data and tissue data of the target sample.
Optionally, after the color coding is performed on the contrast data, the tissue data, and the three-dimensional data to obtain color two-dimensional data and color three-dimensional data, respectively, the method further includes:
displaying the color three-dimensional data according to an initial angle;
acquiring a rotation instruction input by a user aiming at the color three-dimensional data;
determining a corresponding rotation angle according to the rotation instruction;
intercepting a corresponding plane image from the color three-dimensional data according to the rotation angle;
and displaying the plane image.
In addition, to achieve the above object, the present invention also provides a three-dimensional ultrasound imaging apparatus including:
the contrast imaging module is used for acquiring a plurality of continuous contrast data and tissue data of a target sample;
the three-dimensional reconstruction module is used for performing three-dimensional reconstruction on the contrast data and the tissue data to obtain three-dimensional data;
the color coding module is used for performing color coding on the contrast data, the tissue data and the three-dimensional data respectively to obtain color two-dimensional data and color three-dimensional data;
and the data analysis module is used for carrying out data analysis on the color two-dimensional data and the color three-dimensional data to obtain corresponding sampling perfusion parameters, and determining the abnormal area of the target sample according to the sampling perfusion parameters.
Further, to achieve the above object, the present invention also proposes a three-dimensional ultrasound imaging apparatus including: a memory, a processor, and a three-dimensional ultrasound imaging program stored on the memory and executable on the processor, the three-dimensional ultrasound imaging program configured to implement a three-dimensional ultrasound imaging method as described above.
Furthermore, to achieve the above object, the present invention further provides a storage medium having a three-dimensional ultrasound imaging program stored thereon, which when executed by a processor implements the three-dimensional ultrasound imaging method as described above.
The method comprises the steps of obtaining a plurality of continuous contrast data and tissue data of a target sample; performing three-dimensional reconstruction on the contrast data and the tissue data to obtain three-dimensional data; respectively carrying out color coding on the contrast data, the tissue data and the three-dimensional data to obtain color two-dimensional data and color three-dimensional data; and performing data analysis on the color two-dimensional data and the color three-dimensional data to obtain corresponding sampling perfusion parameters, and determining an abnormal area of the target sample according to the sampling perfusion parameters. By the method, the contrast data and the tissue data are obtained, three-dimensional reconstruction is carried out, a color coding strategy is given on the basis, color two-dimensional data and color three-dimensional data are generated, and the sampling perfusion parameters are analyzed based on the color image data, so that a user can know abnormal areas of the sample more visually.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a three-dimensional ultrasound imaging apparatus in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the three-dimensional ultrasound contrast apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of a three-dimensional ultrasound imaging apparatus and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a three-dimensional ultrasound imaging program.
In the three-dimensional ultrasound imaging apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the three-dimensional ultrasound imaging apparatus of the present invention may be provided in a three-dimensional ultrasound imaging apparatus which calls a three-dimensional ultrasound imaging program stored in the memory 1005 through the processor 1001 and executes a three-dimensional ultrasound imaging method provided by an embodiment of the present invention.
An embodiment of the present invention provides a three-dimensional ultrasound contrast method, and referring to fig. 2, fig. 2 is a schematic flowchart of a first embodiment of the three-dimensional ultrasound contrast method according to the present invention.
In this embodiment, the three-dimensional ultrasound contrast method includes the following steps:
step S10: several successive contrast data and tissue data of the target sample are acquired.
It is understood that the execution subject of the present embodiment is a three-dimensional ultrasound imaging apparatus, which may be a computer, a server, or other apparatuses, and may also be an apparatus having an ultrasound probe, a processor subject, an input device, and a monitor, and may also be other apparatuses having the same or similar functions, which is not limited in this embodiment.
It should be noted that the data acquisition mode may be to acquire a series of continuous contrast data and tissue data from a preset storage medium, for example, an ultrasound system or a workstation is set up, and the contrast data and the tissue data are acquired and stored in time sequence; also for example, several successive contrast data and tissue data are acquired by DICOM (Digital Imaging and Communications in Medicine). The contrast data is image data which is shot when a contrast agent reaches each position of a target sample, and the tissue data is tissue image data which is obtained by detecting the reflection intensity of the target sample to ultrasound by using an ultrasonic probe and converting the reflection intensity of the target sample to the ultrasound.
Further, the three-dimensional ultrasound contrast apparatus of this embodiment is connected with an injector and an acquisition device, and is configured to acquire contrast data and tissue data, where the step S10 includes: acquiring a preset region of interest, an imaging mode, a filtering strategy and imaging parameters; controlling an injection device to inject a contrast agent into the target sample; controlling an acquisition device to perform two-dimensional scanning according to the region of interest, the imaging mode and the imaging parameters; and filtering the imaging data obtained by scanning according to the filtering strategy to obtain a plurality of continuous contrast data and tissue data of the target sample.
It will be appreciated that prior to controlling the injection device to inject contrast media, selecting an imaging range, selecting an imaging mode, selecting a filtering strategy, and adjusting imaging parameters, wherein selecting a program range, i.e. a region of interest (i.e. a volume box) disposed in the three-dimensional volume under scan, structures outside the volume box will not be imaged; selecting an imaging mode, namely reasonably selecting the imaging mode according to the contrast echo characteristics of the region of interest, wherein the selection principle is that abnormal characteristics can be highlighted; the filtering strategy is to properly suppress the low echo around the target sample by using a filtering function so as to highlight the structural characteristics of the contrast echo; the imaging parameters comprise parameters such as scanning depth, scanning angle, gain, dynamic range, emission frequency and acoustic power.
In the specific implementation, the angle, the scanning depth and the scanning angle of the section are adjusted at will according to the space range of the region of interest on the basis of real-time two-dimensional scanning, and the scanning is carried out after the position and the size of the three-dimensional volume box are determined. During scanning, the scanning speed can be adjusted according to the echo and the motion characteristics of the region of interest, wherein the moving target can be quickly scanned, and the defect is that the image space resolution is low; the low-speed scanning is adopted in the key area, the image resolution is high, and the defect is that the image is easily influenced by motion; and other areas are scanned at normal speed, and the spatial resolution of the scanning is between that of fast scanning and that of slow scanning. After the preparation is completed, the injector is controlled to inject contrast medium, and then a series of continuous contrast data and tissue data are acquired by the acquisition device.
It should be noted that, alternatively, there are two ways of acquiring contrast data and tissue data: the first is free-hand, the operator holds the probe to obtain a series of two-dimensional ultrasonic images, and then reconstructs a three-dimensional structure through complex image processing, which has high requirements on the operator. And the second method adopts a volume probe to obtain three-dimensional image information through a mechanical or electronic method, and is convenient to operate and apply.
Step S20: and performing three-dimensional reconstruction on the contrast data and the tissue data to obtain three-dimensional data.
It should be understood that in the present embodiment, a three-dimensional ultrasound contrast (3D-CEUS) technique is used to perform three-dimensional reconstruction on the contrast data and the tissue data, and in a specific implementation, the contrast data and the tissue data are respectively three-dimensionally reconstructed to obtain corresponding three-dimensional data. The 3D-CEUS is a novel imaging technology which combines a three-dimensional ultrasonic imaging technology reflecting the internal structure and the adjacent relation of the region of interest with an ultrasonic imaging technology reflecting the sampling perfusion characteristics. The 3D-CEUS technology has the advantages of three-dimensional ultrasonic technology and ultrasonic radiography, expands the field of ultrasonic imaging, can vividly display the structure of a scanning area, enables the perfusion process to be three-dimensional, and realizes the fusion of functional imaging and structural imaging. Efficient aided tool intelligent volume tomography (slice) imaging of 3D-CEUS technology can image a volume image with slices up to 0.1mm in thickness from 3 directions on the X, Y, Z axis. The technology provides a 3 rd layer which cannot be observed by conventional two-dimensional ultrasound for clinic, and can know the relation between an abnormal area and surrounding tissues in more detail through the function of thin layer display.
Step S30: and respectively carrying out color coding on the contrast data, the tissue data and the three-dimensional data to obtain color two-dimensional data and color three-dimensional data.
It should be noted that there are two color coding methods in this embodiment, the first is gray scale intensity color coding, and the second is time color coding, where the gray scale intensity color coding corresponds the gray scale intensity and the color intensity of the contrast image one to one, and the two-dimensional data and the three-dimensional data are coded according to different colors corresponding to the gray scale intensity to generate color two-dimensional data and color three-dimensional data; the time color coding encodes the two-dimensional data and the three-dimensional data according to the contrast agent arrival time to generate color two-dimensional data and color three-dimensional data. The time color coding and the gray scale intensity color coding are both set to be multistage adjustable, and the time color coding and the gray scale intensity color coding can be set to be the same or different for distinguishing.
Further, before the step S30, the method further includes: acquiring a coding strategy selection instruction input by a user; determining a corresponding coding strategy according to the coding strategy selection instruction;
the step S30 includes: and respectively carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the coding strategy to obtain color two-dimensional data and color three-dimensional data.
It should be understood that a plurality of encoding strategies are provided in the present embodiment, an input device is provided for the user to select the encoding strategy, and the user can select or switch the color encoding strategy through the input device such as a knob, a touch screen, a key, and the like.
Further, after the step S30, the method further includes: displaying the color three-dimensional data according to an initial angle; acquiring a rotation instruction input by a user aiming at the color three-dimensional data; determining a corresponding rotation angle according to the rotation instruction; intercepting a corresponding plane image from the color three-dimensional data according to the rotation angle; and displaying the plane image.
It should be noted that, in order to provide a more comprehensive detection image for the user, in the present embodiment, a two-dimensional image of any one plane is selected by rotating the three-dimensional data, and a multi-plane image analysis is performed, and although a cross-sectional view is shown, since many plane images are difficult to observe by two-dimensional ultrasound, effective data can be provided for diagnosis in some scenes, such as the coronal plane of the uterus. In a specific implementation, the user can switch between displaying the tissue 3D and the contrast 3D through a knob, a touch screen, a key and other input devices.
It is understood that after the step S30, the method further includes: and acquiring a volume imaging strategy, and selecting corresponding data from the color three-dimensional data for display according to the volume imaging strategy.
In a particular implementation, the volumetric imaging strategy includes a surface imaging mode and a transparency imaging mode. The surface imaging mode displays the image of the structure surrounded by liquid, such as the surface imaging of the structure on the surface of the fetus; the transparency imaging mode shows an internal image of the echogenic structures with a maximum (e.g. bone) or a minimum (e.g. simple cyst).
Step S40: and performing data analysis on the color two-dimensional data and the color three-dimensional data to obtain corresponding sampling perfusion parameters, and determining an abnormal area of the target sample according to the sampling perfusion parameters.
It should be noted that the sampling perfusion parameters including, but not limited to, the Area (Area) of the contrast agent arrival region corresponding to each time and the echo Intensity (Intensity) at each position are calculated by using the color two-dimensional data and the color three-dimensional data, so that quantitative analysis of the abnormal region is realized, and data support is provided for clinical diagnosis. In a specific implementation, parameters (rise time, time to peak, peak intensity, mean degree crossing time and the like) of each point in the abnormal region are analyzed point by point to form a parameter distribution map, and the perfusion state of the contrast agent in the abnormal region is displayed.
The embodiment obtains a plurality of continuous contrast data and tissue data of a target sample; performing three-dimensional reconstruction on the contrast data and the tissue data to obtain three-dimensional data; respectively carrying out color coding on the contrast data, the tissue data and the three-dimensional data to obtain color two-dimensional data and color three-dimensional data; and performing data analysis on the color two-dimensional data and the color three-dimensional data to obtain corresponding sampling perfusion parameters, and determining an abnormal area of the target sample according to the sampling perfusion parameters. By the method, the contrast data and the tissue data are obtained, three-dimensional reconstruction is carried out, a color coding strategy is given on the basis, color two-dimensional data and color three-dimensional data are generated, and the sampling perfusion parameters are analyzed based on the color image data, so that a user can know abnormal areas of the sample more visually.
Referring to fig. 3, fig. 3 is a schematic flow chart of a three-dimensional ultrasound contrast method according to a second embodiment of the present invention.
Based on the first embodiment, the step S30 of the three-dimensional ultrasound contrast method of this embodiment includes:
step S301: and respectively determining the gray scale intensity corresponding to each pixel point in the contrast data, the tissue data and the three-dimensional data.
It can be understood that gray scale intensities of different levels are set in advance, each gray scale intensity corresponds to a gray scale range, the gray scale of each pixel point in the contrast data, the organization data and the three-dimensional data is obtained, the obtained gray scale is matched with the gray scale range corresponding to the gray scale intensity of each level, and the gray scale intensity corresponding to each pixel point is determined.
Step S302: and searching the coding color corresponding to each pixel point according to the gray scale intensity.
Further, before the step S302, the method further includes: defining gray scale intensities of different levels; determining a plurality of colors selected by a user; generating a gradient coding color level according to the plurality of colors; determining the coding color corresponding to each gray scale intensity according to the total level number corresponding to the gray scale intensity; and storing the gray scale intensities of different levels and the corresponding encoding colors.
It should be noted that, in this embodiment, the encoding colors corresponding to the gray scale intensities are stored in advance, and the gray scale intensities and the color intensities of the contrast image correspond to each other one by one. For example, gray scale intensity is defined as 0 to 100dB for a total of 101 levels, and the color coded display transitions with multiple colors, such as black-dark blue-yellow-red-dark red transitions, at the user's setting to obtain 101 different RGB colors. The red area in the sample image is high enhancement and the blue-black is low enhancement. When the gray scale intensity is used for carrying out color coding, aiming at the gray scale intensity value of each contrast image, only one RGB color can be found in the corresponding gradient coding color scale.
Step S303: and carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the coding color corresponding to each pixel point to obtain color two-dimensional data and color three-dimensional data.
The embodiment obtains a plurality of continuous contrast data and tissue data of a target sample; performing three-dimensional reconstruction on the contrast data and the tissue data to obtain three-dimensional data; respectively determining gray scale intensity corresponding to each pixel point in the contrast data, the tissue data and the three-dimensional data; searching for the coding color corresponding to each pixel point according to the gray scale intensity; carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the coding color corresponding to each pixel point to obtain color two-dimensional data and color three-dimensional data; and carrying out data analysis on the color two-dimensional data and the color three-dimensional data to obtain corresponding sampling perfusion parameters. And determining an abnormal area of the target sample according to the sampling perfusion parameters. By the method, the color coding is carried out according to the gray scale intensity of each pixel point, the perfusion intensity of the contrast agent in the abnormal area and the intensity of surrounding tissues can be visually compared, the difference between the perfusion intensity of the contrast agent in the abnormal area and the intensity of the surrounding tissues is displayed by different colors, and a user can more visually know the abnormal area of the sample conveniently.
Referring to fig. 4, fig. 4 is a schematic flow chart of a third embodiment of the three-dimensional ultrasound contrast method of the present invention.
Based on the first embodiment, the step S30 of the three-dimensional ultrasound contrast method of this embodiment includes:
step S304: and respectively determining the arrival time of the contrast agent corresponding to each pixel point in the contrast data, the tissue data and the three-dimensional data.
It should be understood that, in this embodiment, color coding is performed according to the injection time of the contrast agent, if a part of pixel points in a frame contrast image at a certain time has the arrival of the contrast agent, color coding is performed on the part of pixel points according to the coding color corresponding to the time, and when coding the next frame contrast image, only the arrival part of the newly added contrast agent needs to be coded according to the corresponding color. And so on until the end of the time to peak TTP.
Step S305: and searching the corresponding current coding color according to the arrival time of the contrast agent.
It should be noted that, the encoding colors corresponding to the arrival times of the contrast agents are set in advance, in a specific implementation, color bars are generated according to a plurality of colors selected by a user or a plurality of colors selected arbitrarily, and the current encoding colors corresponding to the arrival times of the contrast agents are selected from the color bars in sequence, wherein the number of colors for generating the color bars can be modified, and the time duration represented by each color can also be modified.
Step S306: and carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the current coding color corresponding to each pixel point to obtain color two-dimensional data and color three-dimensional data.
The embodiment obtains a plurality of continuous contrast data and tissue data of a target sample; performing three-dimensional reconstruction on the contrast data and the tissue data to obtain three-dimensional data; respectively determining the arrival time of the contrast agent corresponding to each pixel point in the contrast data, the tissue data and the three-dimensional data; searching the corresponding current coding color according to the arrival time of the contrast agent; carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the current coding color corresponding to each pixel point to obtain color two-dimensional data and color three-dimensional data; and performing data analysis on the color two-dimensional data and the color three-dimensional data to obtain corresponding sampling perfusion parameters, and determining an abnormal area of the target sample according to the sampling perfusion parameters. By the method, the microbubble perfusion information of different phases of tissues and abnormal areas can be visually displayed by carrying out color coding according to the arrival time of the contrast agent, so that a user can more visually know the abnormal areas of the sample.
Furthermore, an embodiment of the present invention further provides a storage medium, where a three-dimensional ultrasound imaging program is stored, and the three-dimensional ultrasound imaging program, when executed by a processor, implements the three-dimensional ultrasound imaging method as described above.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
Referring to fig. 5, fig. 5 is a block diagram illustrating a structure of a three-dimensional ultrasound contrast apparatus according to a first embodiment of the present invention.
As shown in fig. 5, a three-dimensional ultrasound contrast apparatus according to an embodiment of the present invention includes:
a contrast imaging module 10 for acquiring a plurality of successive contrast data and tissue data of a target sample;
a three-dimensional reconstruction module 20, configured to perform three-dimensional reconstruction on the contrast data and the tissue data to obtain three-dimensional data;
a color coding module 30, configured to perform color coding on the contrast data, the tissue data, and the three-dimensional data, respectively, to obtain color two-dimensional data and color three-dimensional data;
and the data analysis module 40 is configured to perform data analysis on the color two-dimensional data and the color three-dimensional data to obtain corresponding sampling perfusion parameters, and determine an abnormal area of the target sample according to the sampling perfusion parameters.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
The embodiment obtains a plurality of continuous contrast data and tissue data of a target sample; performing three-dimensional reconstruction on the contrast data and the tissue data to obtain three-dimensional data; respectively carrying out color coding on the contrast data, the tissue data and the three-dimensional data to obtain color two-dimensional data and color three-dimensional data; and performing data analysis on the color two-dimensional data and the color three-dimensional data to obtain corresponding sampling perfusion parameters, and determining an abnormal area of the target sample according to the sampling perfusion parameters. By the method, the contrast data and the tissue data are obtained, three-dimensional reconstruction is carried out, a color coding strategy is given on the basis, color two-dimensional data and color three-dimensional data are generated, and the sampling perfusion parameters are analyzed based on the color image data, so that a user can know abnormal areas of the sample more visually.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may be referred to the three-dimensional ultrasound contrast method provided in any embodiment of the present invention, and are not described herein again.
In an embodiment, the color coding module 30 is further configured to determine gray scale intensities corresponding to the pixel points in the contrast data, the tissue data, and the three-dimensional data, respectively; searching for the coding color corresponding to each pixel point according to the gray scale intensity; and carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the coding color corresponding to each pixel point to obtain color two-dimensional data and color three-dimensional data.
In one embodiment, the color coding module 30 is further configured to define gray scale intensities of different levels; determining a plurality of colors selected by a user; generating a gradient coding color level according to the plurality of colors; determining the coding color corresponding to each gray scale intensity according to the total level number corresponding to the gray scale intensity; and storing the gray scale intensities of different levels and the corresponding encoding colors.
In an embodiment, the color coding module 30 is further configured to determine contrast arrival times corresponding to the respective pixel points in the contrast data, the tissue data and the three-dimensional data; searching a corresponding current coding color according to the arrival time of the contrast agent; and carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the current coding color corresponding to each pixel point to obtain color two-dimensional data and color three-dimensional data.
In an embodiment, the color coding module 30 is further configured to obtain a coding strategy selection instruction input by a user; determining a corresponding coding strategy according to the coding strategy selection instruction; and respectively carrying out color coding on the contrast data, the tissue data and the three-dimensional data according to the coding strategy to obtain color two-dimensional data and color three-dimensional data.
In an embodiment, the radiography imaging module 10 is further configured to acquire a preset region of interest, an imaging mode, a filtering strategy, and imaging parameters; controlling an injection device to inject a contrast agent into the target sample; controlling an acquisition device to perform two-dimensional scanning according to the region of interest, the imaging mode and the imaging parameters; and filtering the imaging data obtained by scanning according to the filtering strategy to obtain a plurality of continuous contrast data and tissue data of the target sample.
In one embodiment, the three-dimensional ultrasound imaging apparatus further comprises a display module;
the display module is used for displaying the color three-dimensional data according to an initial angle; acquiring a rotation instruction input by a user aiming at the color three-dimensional data; determining a corresponding rotation angle according to the rotation instruction; intercepting a corresponding plane image from the color three-dimensional data according to the rotation angle; and displaying the plane image.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.