A method and device for automatically measuring blood flow based on ultrasonic images

Abstract

The present invention discloses a method and device for automatically measuring blood flow based on ultrasonic images, the method comprising: obtaining a vascular ultrasonic image of a target object within a preset time in a first detection mode, and obtaining an ultrasonic Doppler image of the target object within a preset time in a second detection mode; identifying the position of the vascular wall of the vascular tissue in the target object according to the vascular ultrasonic image; obtaining the blood flow velocity of the vascular tissue within a preset time according to the ultrasonic Doppler image; and calculating the blood flow information of the vascular tissue according to the vascular wall position and the blood flow velocity within a preset time. This method of measuring blood flow has a simpler operation process, does not require medical staff to manually mark and switch image modes back and forth, and improves inspection efficiency; at the same time, the blood flow is calculated using the vascular diameter data and blood flow velocity data within a predetermined time, and the blood flow calculation result is more robust, reducing the random interference caused by instantaneous measurement, making the measurement result more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of blood flow measurement, and in particular to an automatic blood flow measurement method and device based on ultrasonic images. Background Art

[0002] Ultrasound imaging is an important means of medical diagnosis. Doctors can obtain different types of diagnostic information through different modes of ultrasound images. Blood flow is an important indicator for evaluating vascular function and can indirectly evaluate the function of the human circulatory system. Therefore, in clinical practice, blood flow measurement is used to evaluate vascular performance.

[0003] In B mode, the ultrasound device can obtain information such as the shape, diameter and position of the blood vessel; in PW mode, the ultrasound device can obtain blood flow velocity information. For human blood vessels, the combination of the two can obtain blood flow information at the corresponding position of the blood vessel. At present, blood flow measurement in clinical diagnosis is mainly done by ultrasound physicians operating a trackball to manually mark the diameter of the corresponding position of the blood vessel, and then use the velocity information measured in PW mode to calculate the corresponding blood flow.

[0004] At present, blood flow measurement in clinical diagnosis is mainly done by ultrasound doctors operating a trackball, first manually measuring the diameter of the blood vessel image, then measuring the blood flow velocity of the Doppler image, and calculating the corresponding blood flow. Multiple operations in different modes will increase unnecessary time costs and greatly affect the detection efficiency. Therefore, in the measurement of blood flow in ultrasound images, it is of great significance to realize automatic measurement of blood flow. Summary of the invention

[0005] In view of this, an embodiment of the present invention provides a method and device for automatically measuring blood flow based on ultrasound images to solve the problems of cumbersome operation, long time consumption and low detection efficiency in the existing manual measurement of blood flow in ultrasound images.

[0006] According to a first aspect, the present invention provides a method for automatically measuring blood flow based on ultrasound images, comprising:

[0007] Acquire a blood vessel ultrasound image of the target object within a preset time in a first detection mode, and acquire an ultrasound Doppler image of the target object within a preset time in a second detection mode;

[0008] identifying the location of the vascular wall of the vascular tissue in the target object according to the vascular ultrasound image;

[0009] Acquiring the blood flow velocity of the vascular tissue within a preset time according to the ultrasonic Doppler image;

[0010] Calculate the blood flow information of vascular tissue according to the position of the vascular wall and the blood flow velocity within a preset time;

[0011] The blood flow information is marked on the blood vessel ultrasound image.

[0012] In combination with the first aspect, in an implementation manner of the first aspect, before calculating the blood flow information of the vascular tissue according to the position of the vascular wall and the blood flow velocity within a preset time, the method further includes:

[0013] The blood vessel wall position and the blood flow velocity within a preset time are screened.

[0014] In combination with the first aspect, in an implementation manner of the first aspect, the screening of the blood vessel wall position and the blood flow velocity within a preset time includes:

[0015] Screening out a blood flow cycle signal of a time period from the blood flow velocity image within a preset time;

[0016] The blood vessel diameter information is calculated from multiple frames of images of the blood vessel wall position according to the time period of the blood flow cycle signal.

[0017] In combination with the first aspect, in an implementation of the first aspect, acquiring a vascular ultrasound image of the target object within a preset time in the first detection mode, and acquiring an ultrasound Doppler image of the target object within a preset time in the second detection mode, includes:

[0018] Transmitting a second ultrasonic wave in the same direction to a region of the target object containing vascular tissue, receiving a second echo signal, and acquiring an ultrasonic Doppler image of the target object within a preset time;

[0019] Transmitting a first ultrasonic wave to a region of the target object containing vascular tissue, receiving a first echo signal, and acquiring a first vascular ultrasonic image of the target object within a preset time; and / or

[0020] A third ultrasonic wave is emitted to a region of the target object that includes vascular tissue, a third echo signal is received, and a second vascular ultrasonic image of the target object within a preset time is acquired.

[0021] In combination with the first aspect, in an implementation manner of the first aspect, identifying the position of the vascular wall of the vascular tissue in the target object according to the vascular ultrasound image includes:

[0022] Preprocessing the boundary characteristics of the blood vessel ultrasonic image;

[0023] Segmenting the preprocessed vascular ultrasound image to obtain a binary image containing the vascular wall;

[0024] A sampling gate is set for the blood flow area of ​​the current corresponding blood vessel ultrasound image, and the blood vessel wall position is identified in the binary image according to the position information of the sampling gate.

[0025] In combination with the first aspect, in an implementation manner of the first aspect, the preprocessing of the boundary characteristics of the vascular ultrasound image includes:

[0026] Performing noise reduction processing on the acquired vascular ultrasound image;

[0027] Anisotropy processing is performed on the vascular ultrasound image after noise reduction.

[0028] In combination with the first aspect, in an implementation of the first aspect, the segmentation process of the preprocessed vascular ultrasound image to obtain a binary image including the vascular wall includes:

[0029] Acquire edge contours of vascular ultrasound images;

[0030] The blood vessel ultrasound image is binary-converted according to the edge contour to obtain a segmented binary image containing the blood vessel wall.

[0031] According to the second aspect, an embodiment of the present invention further provides an automatic blood flow measurement device based on an ultrasonic image, comprising:

[0032] A data acquisition unit, which uses an ultrasonic probe to scan a target object in a first detection mode to obtain a vascular ultrasonic image within a preset time, and scans the target object in a second detection mode to obtain an ultrasonic Doppler image within a preset time;

[0033] a blood vessel diameter measuring unit, which identifies the position of the blood vessel wall of the blood vessel tissue in the target object according to the blood vessel ultrasonic image and calculates the blood vessel wall diameter;

[0034] A blood flow velocity detection unit, for acquiring the blood flow velocity of the vascular tissue within a preset time according to the ultrasonic Doppler image within the preset time;

[0035] A blood flow calculation unit calculates the blood flow information of the vascular tissue according to the position of the vascular wall and the blood flow velocity within a preset time;

[0036] The calculation result display unit marks the blood flow information on the blood vessel ultrasonic image.

[0037] According to the 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, wherein the processor implements the above-mentioned automatic blood flow measurement method based on ultrasound images when executing the computer program.

[0038] According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the above-mentioned method for automatically measuring blood flow in ultrasound images.

[0039] In an embodiment of the present invention, by acquiring an ultrasonic image of a blood vessel of a target object within a preset time in a first detection mode, the position of the blood vessel wall can be determined; then, by acquiring an ultrasonic Doppler image of the target object within a preset time in a second detection mode, the blood flow velocity of the blood vessel tissue within the preset time can be obtained, and then, by screening the position of the blood vessel wall and the blood flow velocity within the preset time, the optimal blood flow velocity cycle and blood vessel diameter can be obtained, and then the blood flow information of the blood vessel tissue is calculated based on the optimal blood flow velocity cycle and blood vessel diameter; compared with the prior art, this method of measuring blood flow has a simpler operation process, does not require manual marking and switching of image modes by medical staff, and improves inspection efficiency; at the same time, the blood flow is calculated using the blood vessel diameter data and blood flow velocity data within a predetermined time, and the blood flow calculation result is more robust, reduces random interference caused by instantaneous measurement, and makes the measurement result more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 is a flow chart of a method for automatically measuring blood flow from an ultrasound image according to an embodiment of the present invention;

[0042] Figure 2 This is the effect of blood flow measurement in the prior art Figure 1 ;

[0043] Figure 3 This is the effect of blood flow measurement in the prior art Figure 2 ;

[0044] Figure 4 This is a diagram showing the effect of blood flow measurement in an embodiment of the present invention;

[0045] Figure 5 is a schematic diagram of the structure of an automatic blood flow measurement device using ultrasonic images according to an embodiment of the present invention;

[0046] Figure 6 It is a signal flow chart of automatic blood flow measurement in an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0048] According to an embodiment of the present invention, an embodiment of a method for automatic measurement of blood flow based on ultrasound images is provided. It should be noted that although the logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different from that shown here.

[0049] Reference Figure 1 As shown in FIG. 4 , in one embodiment, a method for obtaining blood flow in an ultrasound image is provided, which includes the following steps:

[0050] S1, acquiring a blood vessel ultrasonic image of a target object within a preset time in a first detection mode, and acquiring an ultrasonic Doppler image of the target object within a preset time in a second detection mode.

[0051] Specifically, the target object may be a tubular tissue structure with flowing substances, such as an organ, tissue, or blood vessel in a human or animal body, and the vascular ultrasound image acquired within a preset time should have distinguishable vascular wall structural features.

[0052] In this embodiment, the first detection mode may be an ultrasonic B mode, an ultrasonic B mode plus an ultrasonic C mode, and the ultrasonic C mode may be selected selectively; and the second detection mode may adopt an ultrasonic PW mode. The ultrasonic B mode specifically transmits a first ultrasonic wave to an area of ​​the target object containing vascular tissue, receives a first echo signal, and obtains a first vascular ultrasonic image of the target object within a preset time; the ultrasonic PW mode specifically transmits a second ultrasonic wave in the same direction to an area of ​​the target object containing vascular tissue, receives a second echo signal, and obtains an ultrasonic Doppler image of the target object within a preset time; the ultrasonic C mode specifically transmits a third ultrasonic wave to an area of ​​the target object containing vascular tissue, receives a third echo signal, and obtains a second ultrasonic blood flow image of the target object within a preset time.

[0053] S2, identifying the position of the vascular wall of the vascular tissue in the target object according to the vascular ultrasound image.

[0054] Specifically, a sampling gate is set for the blood flow area of ​​the current corresponding vascular ultrasound image. The position of the sampling gate is displayed on the spatial stereoscopic display device as a position with discernible vascular wall structural features in the vascular ultrasound image. The position information of the sampling gate is used as a reference in the process of determining the vascular wall position.

[0055] In the first implementation of this embodiment, the first detection mode adopts the ultrasound B mode. Since the blood vessel wall is a high-echo medium, it appears as a high-brightness area in the blood vessel ultrasound image obtained in the ultrasound B mode; and blood is a low-echo medium, and it appears as a low-brightness area in the blood vessel ultrasound image obtained in the ultrasound B mode; therefore, the blood vessel wall can be distinguished in the blood vessel ultrasound image based on this characteristic. In specific operations, the blood vessel wall is determined based on the position information of the sampling gate and the image segmentation algorithm. The image segmentation algorithm includes but is not limited to a threshold image segmentation algorithm, an edge detection algorithm, and an image segmentation algorithm based on deep learning technology.

[0056] Before using an image segmentation algorithm to segment a vascular ultrasound image to obtain a binary image containing the vascular wall structure, it is necessary to use an optimization algorithm to preprocess the vascular ultrasound image to enhance the grayscale difference between the vascular structure and the surrounding tissue in the vascular ultrasound image, improve the contrast of the vascular wall structure, and increase the accuracy of subsequent segmentation.

[0057] The step of preprocessing the vascular ultrasonic image includes performing noise reduction processing and anisotropy processing on the vascular ultrasonic image.

[0058] Since the noise in the blood vessels will lead to a decrease in the contrast of the vascular ultrasound image and reduce the continuity of the blood vessels, it is necessary to suppress the noise in the blood vessels to improve the imaging quality of the vascular ultrasound image. Among them, the noise mainly manifests as speckle noise. In this embodiment, gamma transformation is used to perform noise reduction processing on the vascular ultrasound image to enhance the vascular structure with higher brightness and reduce the influence of noise. In other embodiments, the noise reduction processing can also be performed by but not limited to Gaussian filtering, histogram equalization and regularization methods.

[0059] Since anisotropic processing can improve the continuity and edge sharpness of the vascular wall structure in the vascular ultrasound image, the recognizability of the vascular wall structure in the vascular ultrasound image is improved, which is beneficial to the subsequent image segmentation and convenient for obtaining the effective vascular wall position. In this embodiment, a one-dimensional Laplace filter is used to sharpen the grayscale of the vascular ultrasound image, and a median or mean filter is used to smooth the grayscale of the vascular ultrasound image. In other embodiments, the image sharpening and smoothing methods can also use other filtering methods.

[0060] In a second implementation of this embodiment, the first detection mode uses an ultrasonic B mode plus an ultrasonic C mode, based on a first vascular ultrasonic image acquired in the ultrasonic B mode and a second vascular ultrasonic image acquired in the ultrasonic C mode, combined with blood flow information of the vascular ultrasonic image and position information of the sampling gate, an energy-based image segmentation algorithm is used to segment the vascular ultrasonic image in the sampling gate position area to determine the vascular wall. The energy-based image segmentation algorithm may be a Snake algorithm or a level set algorithm.

[0061] In a third implementation of this embodiment, the first detection mode adopts ultrasound B mode plus ultrasound C mode, and based on the second blood vessel ultrasound image acquired in the ultrasound C mode, the blood vessel wall is determined using the position information of the sampling gate and the speed and direction of the blood flow in the second blood vessel ultrasound image.

[0062] In other implementations of this embodiment, the image segmentation method may also adopt an active contour model-based image segmentation method or a clustering-based image segmentation method based on different types of ultrasonic diagnostic equipment and differences in physical characteristics and parameter settings of probes.

[0063] S3, obtaining the blood flow velocity of the vascular tissue within a preset time according to the ultrasonic Doppler image.

[0064] Specifically, in the ultrasonic PW mode, a frequency spectrum signal of the target object at the location of the sampling gate is obtained, and the blood flow velocity at the location of the sampling gate within a preset time is determined according to the frequency spectrum signal.

[0065] S4, screening the blood vessel wall position and blood flow velocity within a preset time.

[0066] Specifically, a blood flow cycle signal with the best imaging quality is selected from the blood flow velocity image within the preset time, and the blood flow cycle signal within the time period from t1 to t2 in the figure can be obtained; at the same time, the blood vessel wall position information of multiple frames within the preset time is also selected, the best blood vessel wall position is selected and the blood vessel diameter is calculated, for example, the best blood vessel diameter can be the average blood vessel diameter within the time period from t1 to t2 corresponding to a cardiac cycle. It should be noted here that step S4 can be selected selectively.

[0067] S5, calculating the blood flow information of the vascular tissue according to the position of the vascular wall and the blood flow velocity within a preset time.

[0068] Since the cross section of the blood vessel structure in the target object is usually circular, the cross-sectional area at the blood vessel diameter position can be calculated from the blood vessel wall diameter obtained in step S3 or S4 according to the calculation formula for the circle area.

[0069] VF Area=π*(VF Diam / 2) 2, wherein VF Diam is preferably the average diameter of the blood vessel in a cardiac cycle corresponding to the time period from t1 to t2 in step S4.

[0070] The blood flow velocity at the location of the sampling gate can automatically calculate the maximum and average flow velocities based on the spectrum signal obtained in the ultrasound PW mode.

[0071]

[0072]

[0073] According to the flow calculation formula, the blood flow value is obtained by multiplying the blood flow velocity obtained in the ultrasonic PW mode by the cross-sectional area. Among them, since the blood flow velocity measured in the ultrasonic PW mode includes the maximum value and the average value within a cycle, the blood flow obtained in step S5 is the average flow and the maximum flow within a cycle.

[0074]

[0075]

[0076] For the results obtained in the above steps, it is necessary to reasonably mark the calculated diameter in the vascular ultrasound image in step S6, and mark the position of the diameter calculated in step S2 in the vascular ultrasound image in ultrasound B mode in the vascular ultrasound image, and conform to the doctor's intuitive impression. Since the actual positions of the two walls of the blood vessel are not necessarily parallel, the direction of the diameter is not necessarily perpendicular to the two straight lines.

[0077] S6, annotating blood flow information on the vascular ultrasound image.

[0078] Furthermore, the blood vessel wall diameter at the position corresponding to the blood flow information can be simultaneously marked and displayed at the same position on the blood vessel ultrasound image.

[0079] By acquiring the target object's vascular ultrasound image within a preset time in the first detection mode, the position of the vascular wall can be determined; then acquiring the target object's ultrasonic Doppler image within a preset time in the second detection mode, the blood flow velocity of the vascular tissue within the preset time can be obtained; compared with the existing technology, this blood flow measurement method has a simpler operation process, does not require medical staff to manually mark and switch image modes back and forth, and improves the inspection efficiency; at the same time, the blood flow is calculated using the vascular diameter data and blood flow velocity data within a preset time. In addition, by screening the vascular wall position and the blood flow velocity within a preset time, the optimal blood flow velocity cycle and vascular diameter can be obtained, and then the blood flow information of the vascular tissue can be calculated by the optimal blood flow velocity cycle and vascular diameter, which can make the blood flow calculation result more robust, reduce the random interference caused by instantaneous measurement, and make the measurement result more accurate.

[0080] Embodiment 2, as Figure 5 As shown, an embodiment of the present invention further provides an automatic blood flow detection device based on ultrasonic images, comprising 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.

[0081] Among them, the data acquisition unit 1 scans the target object in the first detection mode through the ultrasonic probe to obtain the vascular ultrasonic image within the preset time, and scans the target object in the second detection mode to obtain the ultrasonic Doppler image within the preset time; the vascular diameter measurement unit 2 identifies the vascular wall position of the vascular tissue in the target object according to the vascular ultrasonic image and calculates the vascular wall diameter; the blood flow velocity detection unit 3 obtains the blood flow velocity of the vascular tissue within the preset time according to the ultrasonic Doppler image within the preset time; the blood flow calculation unit 5 calculates the blood flow information of the vascular tissue according to the screened vascular wall position and the blood flow velocity within the preset time; the calculation result display unit 6 marks the blood flow information on the vascular ultrasonic image.

[0082] In a preferred implementation of this embodiment, the automatic blood flow detection device also includes a blood vessel wall diameter and blood flow velocity screening unit 4, which screens the blood vessel wall position and the blood flow velocity within a preset time before calculating the blood flow velocity.

[0083] like Figure 6 As shown, the embodiment of the present invention provides an operation flow of an automatic blood flow detection device for ultrasonic images, which specifically includes the following steps:

[0084] A1. Acquire a vascular ultrasound image of a target object in a first detection mode by ultrasound scanning;

[0085] A2, switch to Doppler mode;

[0086] A3. Select measurement items:

[0087] A4. Process the vascular ultrasound image to identify the vascular wall;

[0088] A5, setting a sampling gate to the blood flow area of ​​the current corresponding vascular ultrasound image;

[0089] A6. Determine the validity of the blood vessel wall diameter;

[0090] A7. If the result of step A6 is valid, the distance between the centers of the upper and lower tube walls at the location of the sampling gate is taken as the output position of the blood vessel diameter;

[0091] A8. Labeling blood vessel diameter information in vascular ultrasound images;

[0092] A9, calculating the blood vessel area based on the output blood vessel diameter information;

[0093] A10. Obtain the maximum and average blood flow velocity based on the automatically identified Doppler signal;

[0094] A11. Calculate the average and maximum blood flow;

[0095] A12. If the result of step A6 is invalid, the system automatically switches to manual measurement and directly goes to step A9.

[0096] In some of the above embodiments, single-point blood flow measurement is used as an example, but the present invention is not limited to blood flow measurement at a single position, and can also support blood flow measurement at multiple positions. Of course, in some embodiments, the single-point blood flow can also be calculated by calculating the average of blood flow measurements of some points adjacent to the single point, or the average of blood flow of multiple single points included in a section of the blood vessel can be calculated to represent the blood flow of the section.

[0097] Those skilled in the art can understand that all or part of the steps of the various methods in the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory, a random access memory, a disk or an optical disk, etc. Therefore, the present application also discloses a storage medium, which stores a program for executing all or part of the steps of the various methods in the above embodiments, such as a program for executing the method for obtaining blood flow in an ultrasound image disclosed in any embodiment.

[0098] The above contents are further detailed descriptions of the present application in combination with specific implementation methods, and it cannot be determined that the specific implementation of the present application is limited to these descriptions. For ordinary technicians in the technical field to which the present application belongs, several simple deductions or substitutions can be made without departing from the inventive concept of the present application.

Claims

1. A method for automatically measuring blood flow based on ultrasound images, characterized in that: include: Acquire a blood vessel ultrasound image of the target object within a preset time in a first detection mode, and acquire an ultrasound Doppler image of the target object within a preset time in a second detection mode; Identifying the position of the vascular wall of the vascular tissue in the target object according to the vascular ultrasound image; the identifying the position of the vascular wall of the vascular tissue in the target object according to the vascular ultrasound image comprises: preprocessing the boundary characteristics of the vascular ultrasound image; segmenting the preprocessed vascular ultrasound image to obtain a binary image containing the vascular wall; setting a sampling gate to the blood flow area of ​​the current corresponding vascular ultrasound image, identifying the position of the vascular wall in the binary image according to the position information of the sampling gate, taking the distance between the upper and lower wall centers at the sampling gate position as the vascular diameter output position, and marking the vascular diameter information on the vascular ultrasound image; Acquiring the blood flow velocity of the vascular tissue within a preset time according to the ultrasonic Doppler image; Calculate the blood flow information of vascular tissue according to the position of the vascular wall and the blood flow velocity within a preset time; The blood flow information is marked on the blood vessel ultrasound image.

2. The method for automatic blood flow measurement based on ultrasound images according to claim 1, characterized in that: Before calculating the blood flow information of the vascular tissue according to the position of the vascular wall and the blood flow velocity within a preset time, the method further includes: The blood vessel wall position and the blood flow velocity within a preset time are screened.

3. The method for automatic blood flow measurement based on ultrasound images according to claim 2, characterized in that: The screening of the blood vessel wall position and the blood flow velocity within a preset time includes: Screening out a blood flow cycle signal of a time period from the blood flow velocity image within a preset time; The blood vessel diameter information is calculated from multiple frames of images of the blood vessel wall position according to the time period of the blood flow cycle signal.

4. The method for automatic blood flow measurement based on ultrasound images according to claim 3, characterized in that: The calculated diameter is reasonably marked on the vascular ultrasound image, and the vascular diameter at the position corresponding to the blood flow information is simultaneously marked and displayed at the same position on the vascular ultrasound image.

5. The method for automatic blood flow measurement based on ultrasound images according to claim 1, characterized in that: The method of acquiring a blood vessel ultrasonic image of the target object in a first detection mode within a preset time, and acquiring an ultrasonic Doppler image of the target object in a second detection mode within a preset time, comprises: Transmitting a second ultrasonic wave in the same direction to a region of the target object containing vascular tissue, receiving a second echo signal, and acquiring an ultrasonic Doppler image of the target object within a preset time; Transmitting a first ultrasonic wave to a region of the target object containing vascular tissue, receiving a first echo signal, and acquiring a first vascular ultrasonic image of the target object within a preset time; and / or A third ultrasonic wave is emitted to a region of the target object that includes vascular tissue, a third echo signal is received, and a second vascular ultrasonic image of the target object within a preset time is acquired.

6. The method for automatic blood flow measurement based on ultrasound images according to claim 1, characterized in that: The preprocessing of the boundary characteristics of the vascular ultrasound image includes: Performing noise reduction processing on the acquired vascular ultrasound image; Anisotropy processing is performed on the vascular ultrasound image after noise reduction.

7. The method for automatic blood flow measurement based on ultrasound images according to claim 6, characterized in that: The segmentation process of the preprocessed vascular ultrasound image to obtain a binary image containing the vascular wall includes: Acquire edge contours of vascular ultrasound images; The blood vessel ultrasound image is binary-converted according to the edge contour to obtain a segmented binary image containing the blood vessel wall.

8. An automatic blood flow measurement device based on ultrasound images, characterized in that: include: A data acquisition unit (1) is configured to scan a target object in a first detection mode using an ultrasonic probe to obtain a blood vessel ultrasonic image within a preset time, and to scan the target object in a second detection mode to obtain an ultrasonic Doppler image within a preset time; A blood vessel diameter measurement unit (2) is used to identify the position of the blood vessel wall of the blood vessel tissue in the target object according to the blood vessel ultrasound image and calculate the blood vessel diameter; wherein the blood vessel diameter measurement unit (2) pre-processes the boundary characteristics of the blood vessel ultrasound image; performs segmentation processing on the pre-processed blood vessel ultrasound image to obtain a binary image containing the blood vessel wall; sets a sampling gate to the blood flow area of ​​the current corresponding blood vessel ultrasound image, 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 upper and lower blood vessel wall centers at the position of the sampling gate as the blood vessel diameter output position, and marks the blood vessel diameter information on the blood vessel ultrasound image; A blood flow velocity detection unit (3) is used to obtain the blood flow velocity of the vascular tissue within a preset time according to the ultrasonic Doppler image within the preset time; A blood flow calculation unit (5) calculates blood flow information of the vascular tissue according to the position of the vascular wall and the blood flow velocity within a preset time; A calculation result display unit (6) is used to mark the blood flow information on the blood vessel ultrasonic image.

9. A terminal device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for automatically measuring blood flow based on ultrasound images as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the automatic blood flow measurement method based on ultrasound images according to any one of claims 1 to 7.

Images