CN112037163A - Blood flow automatic measurement method and device based on ultrasonic image - Google Patents
Blood flow automatic measurement method and device based on ultrasonic image Download PDFInfo
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Abstract
The invention discloses an automatic blood flow measuring method and device based on ultrasonic images, wherein the method comprises the following steps: acquiring a blood vessel ultrasonic image of a target object in a first detection mode within preset time, and acquiring an ultrasonic Doppler image of the target object in a second detection mode within preset time; identifying the vessel wall position of the vessel tissue in the target object according to the vessel ultrasonic image; obtaining the blood flow speed of the vascular tissue within preset time according to the ultrasonic Doppler image; and calculating blood flow information of the blood vessel tissue according to the position of the blood vessel wall and the blood flow velocity in a preset time. The blood flow measuring mode has simpler operation flow, does not need manual marking of medical personnel and image mode switching back and forth, and improves the inspection efficiency; meanwhile, the blood flow volume is calculated by using the blood vessel diameter data and the blood flow velocity data in the preset time, the blood flow volume calculation result is more robust, the random interference caused by instantaneous measurement is reduced, and the measurement result is 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 ultrasonic images.
Background
Ultrasound imaging is an important means of medical diagnosis, and doctors can acquire different types of diagnostic information through different modes of ultrasound images. Blood flow is an important index for evaluating the function of blood vessels, and the function of the circulatory system of a human body can be indirectly evaluated. Therefore, clinically, measurements of blood flow are used to assess vascular performance.
The ultrasonic device can acquire the information of the shape, the diameter, the position and the like of the blood vessel in the B mode; the ultrasonic device in the PW mode can acquire the velocity information of the blood flow. Aiming at the blood vessel of the human body, the blood flow information of the corresponding position of the blood vessel can be obtained by combining the blood vessel and the human body. At present, the blood flow measurement in clinical diagnosis is mainly to manually label the diameter of the corresponding position of a blood vessel in a way that an ultrasonographer operates a track ball, 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 to manually measure the diameter of a blood vessel image and then measure the blood flow velocity of a Doppler image in a way that an ultrasonic doctor operates a track ball, so that corresponding blood flow is calculated, unnecessary time cost is increased by multiple operations in different modes, and the detection efficiency is greatly influenced. Therefore, it is important to automatically measure the blood flow rate in the measurement of the blood flow rate in the ultrasound image.
Disclosure of Invention
In view of this, embodiments of the present invention provide an automatic blood flow measurement method and apparatus based on ultrasound images, so as to solve the problems of complicated operation, long time consumption, and low detection efficiency of the conventional manual measurement in the blood flow measurement of ultrasound images.
According to a first aspect, the invention provides an ultrasound image-based automatic blood flow measurement method, comprising:
acquiring a blood vessel ultrasonic image of a target object in a first detection mode within preset time, and acquiring an ultrasonic Doppler image of the target object in a second detection mode within preset time;
identifying the vessel wall position of the vessel tissue in the target object according to the vessel ultrasonic image;
acquiring the blood flow speed of the vascular tissue within preset time according to the ultrasonic Doppler image;
calculating blood flow information of the vascular tissue according to the position of the vascular wall and the blood flow velocity in preset time;
and marking the blood flow information on the blood vessel ultrasonic image.
With reference to the first aspect, in an embodiment 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:
and screening the position of the blood vessel wall and the blood flow speed within a preset time.
With reference to the first aspect, in an embodiment of the first aspect, the screening the blood flow speed at the vascular wall position and within a preset time includes:
screening out a blood flow periodic signal of a time period from a blood flow velocity image within preset time;
and calculating blood vessel diameter information from a plurality of frames of images of the positions of the blood vessel walls according to the time period of the blood flow periodic signals.
With reference to the first aspect, in an implementation manner of the first aspect, the acquiring an ultrasound image of a blood vessel of a target object in a first detection mode for a preset time, and acquiring an ultrasound doppler image of the target object in a second detection mode for the preset time includes:
transmitting second ultrasonic waves in the same direction to a region containing vascular tissues in the target object, receiving a second echo signal, and acquiring an ultrasonic Doppler image of the target object within preset time;
transmitting a first ultrasonic wave to a region containing vascular tissues in a target object, receiving a first echo signal, and acquiring a first vascular ultrasonic image of the target object within preset time; and/or
And transmitting a third ultrasonic wave to the region containing the vascular tissue in the target object, receiving a third echo signal, and acquiring a second vascular ultrasonic image of the target object within preset time.
With reference to the first aspect, in an embodiment 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 the boundary characteristics of the blood vessel ultrasonic image;
carrying out segmentation processing on the blood vessel ultrasonic image after the pretreatment to obtain a binary image containing a blood vessel wall;
and setting a sampling gate for the blood flow area of the blood vessel ultrasonic image corresponding to the current time, and identifying the position of the blood vessel wall in the binary image according to the position information of the sampling gate.
With reference to the first aspect, in an embodiment of the first aspect, the preprocessing the boundary characteristics of the blood vessel ultrasound image includes:
carrying out noise reduction processing on the obtained blood vessel ultrasonic image;
and carrying out anisotropic processing on the blood vessel ultrasonic image subjected to the noise reduction processing.
With reference to the first aspect, in an implementation manner of the first aspect, the segmenting the preprocessed blood vessel ultrasound image to obtain a binary image including a blood vessel wall includes:
acquiring an edge contour of a blood vessel ultrasonic image;
and performing binary conversion on the blood vessel ultrasonic image according to the edge contour to obtain a segmented binary image containing a blood vessel wall.
According to a second aspect, an embodiment of the present invention further provides an automatic blood flow measuring device for an ultrasound image, including:
the data acquisition unit scans a target object through the ultrasonic probe in a first detection mode to acquire a blood vessel ultrasonic image within preset time, and scans the target object in a second detection mode to acquire an ultrasonic Doppler image within preset time;
the blood vessel diameter measuring unit is used 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 diameter of the blood vessel wall;
the blood flow velocity detection unit is used for acquiring the blood flow velocity of the blood vessel tissue within preset time according to the ultrasonic Doppler image within preset time;
the blood flow calculating unit is used for calculating blood flow information of the vascular tissue according to the position of the vascular wall and the blood flow velocity in preset time;
and the calculation result display unit is used for marking 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, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned ultrasound-based blood flow automatic 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-mentioned automatic blood flow measurement method for an ultrasound image.
In the embodiment of the invention, the position of the blood vessel wall can be determined by acquiring the blood vessel ultrasonic image of the target object in the first detection mode within the preset time; then obtaining an ultrasonic Doppler image of the target object within a preset time in a second detection mode, obtaining the blood flow velocity of the vascular tissue within the preset time, screening the position of the vascular wall and the blood flow velocity within the preset time, obtaining the optimal blood flow velocity cycle and the optimal blood vessel diameter, and calculating the blood flow information of the vascular tissue through the optimal blood flow velocity cycle and the optimal blood vessel diameter; compared with the prior art, the blood flow measuring method has the advantages that the operation process is simpler, the manual marking and the back-and-forth image mode switching of medical personnel are not needed, and the examination efficiency is improved; meanwhile, the blood flow volume is calculated by using the blood vessel diameter data and the blood flow velocity data in the preset time, the blood flow volume calculation result is more robust, the random interference caused by instantaneous measurement is reduced, and the measurement result is more accurate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
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 graph of the effect of blood flow measurement in the prior art;
FIG. 4 is a graph of the effect of blood flow measurements in an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of an automatic ultrasonic image blood flow measuring device in 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
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
While a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in a different order than shown, in accordance with an embodiment of the present invention.
Referring to fig. 1-4, in one embodiment, a method for obtaining blood flow in ultrasound images is provided, which includes the steps of:
and S1, acquiring a blood vessel ultrasonic image of the target object in the first detection mode within the preset time, and acquiring an ultrasonic Doppler image of the target object in the second detection mode within the preset time.
Specifically, the target object may be a tubular tissue structure having a flowing substance, such as an organ, a tissue, a blood vessel, etc., in a human body or an animal body, and the obtained blood vessel ultrasound image in the preset time should have distinguishable blood vessel wall structural features.
In this embodiment, the first detection mode may be an ultrasound B mode, an ultrasound B mode plus an ultrasound C mode, and the ultrasound C mode may be selectively selectable; while the second detection mode may employ an ultrasonic PW mode. The ultrasound B mode is specifically that a first ultrasonic wave is emitted to a region containing vascular tissues in a target object, a first echo signal is received, and a first blood vessel ultrasound image of the target object in a preset time is obtained; the ultrasonic PW mode is specifically that second ultrasonic waves in the same direction are emitted to a region containing vascular tissues in a target object, a second echo signal is received, and an ultrasonic Doppler image of the target object within preset time is obtained; the ultrasound C mode is specifically to emit a third ultrasonic wave to a region containing vascular tissues in the target object, receive a third echo signal, and acquire a second ultrasound blood flow image of the target object within a preset time.
S2, identifying the position of the vessel wall of the vessel tissue in the target object according to the vessel ultrasonic image.
Specifically, a sampling gate is set in a blood flow area of a currently corresponding blood vessel ultrasonic image, the position of the sampling gate is shown as a position with distinguishable blood vessel wall structural features in the blood vessel ultrasonic image on a spatial stereoscopic display device, and position information of the sampling gate is used as a reference in the process of determining the position of the blood vessel wall.
In a first implementation manner of this embodiment, the first detection mode adopts an ultrasound B mode, and since a blood vessel wall belongs to a hyperechoic medium, a high-brightness region appears in a blood vessel ultrasound image acquired in the ultrasound B mode; the blood belongs to a low-echo medium and is represented as a low-brightness area in a blood vessel ultrasonic image acquired in an ultrasonic B mode; the vessel wall can be distinguished in the vessel ultrasonic image according to the characteristics. In specific operation, the blood vessel wall is determined according to the position information of the sampling gate and an image segmentation algorithm. The image segmentation algorithm includes, but is not limited to, a threshold image segmentation algorithm, an edge detection algorithm, an image segmentation algorithm based on a deep learning technique, and the like.
Before the image segmentation algorithm is adopted to segment the blood vessel ultrasonic image to obtain a binary image containing a blood vessel wall structure, the blood vessel ultrasonic image needs to be preprocessed by adopting an optimization algorithm so as to enhance the gray difference between the blood vessel structure in the blood vessel ultrasonic image and surrounding tissues, improve the contrast of the blood vessel wall structure and increase the accuracy of subsequent segmentation.
The step of preprocessing the blood vessel ultrasonic image comprises the step of performing noise reduction processing and anisotropic processing on the blood vessel ultrasonic image.
Because the contrast of the blood vessel ultrasonic image is reduced due to the noise in the blood vessel, and the continuity of the blood vessel is reduced, the noise in the blood vessel needs to be suppressed, and the imaging quality of the blood vessel ultrasonic image needs to be improved. In the embodiment, the gamma transformation is used to perform noise reduction on the blood vessel ultrasound image, so as to enhance the blood vessel structure with high brightness and reduce the influence of noise. In other embodiments, the noise reduction process may also be performed by, but not limited to, gaussian filtering, histogram equalization, and regularization.
Because the continuity and the edge sharpness of the vascular wall structure in the blood vessel ultrasonic image can be improved through the anisotropic treatment, the distinguishability of the vascular wall structure in the blood vessel ultrasonic image is improved, the subsequent image segmentation is facilitated, and the effective vascular wall position is conveniently obtained. In this embodiment, one-dimensional laplacian filtering is adopted to perform image sharpening on the gray scale of the blood vessel ultrasound image, and median or mean filtering is adopted to perform smoothing on the gray scale of the blood vessel ultrasound image. In other embodiments, other filtering methods may be used for the image sharpening and smoothing.
In a second implementation manner of this embodiment, the first detection mode adopts an ultrasound B mode and an ultrasound C mode, and 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, an image segmentation algorithm based on energy is used to segment the blood vessel ultrasound image in the sampling gate position region to determine the blood vessel wall by combining blood flow information of the blood vessel ultrasound image and position information of the sampling gate. The energy-based image segmentation algorithm may be a Snake algorithm or a level set algorithm.
In a third implementation manner of this embodiment, the first detection mode adopts an ultrasound B mode and an ultrasound C mode, and based on the second blood vessel ultrasound image acquired in the ultrasound C mode, the blood vessel wall is determined by using the position information of the sampling gate and the speed and direction of the blood flow in the second blood vessel ultrasound image.
In other embodiments of this embodiment, the image segmentation method may also be an image segmentation method based on an active contour model or a clustering-based image segmentation method based on different types of ultrasound diagnostic equipment and differences in physical characteristics and parameter settings of the probe.
And S3, acquiring the blood flow velocity of the blood vessel tissue within the preset time according to the ultrasonic Doppler image.
Specifically, under the ultrasonic PW mode, a frequency spectrum signal of the position of a sampling gate of a target object is obtained, and the blood flow speed within the preset time at the position of the sampling gate is determined according to the frequency spectrum signal.
S4, the blood flow velocity at the vascular wall position and within a predetermined time is selected.
Specifically, a blood flow cycle signal with the best imaging quality is screened from an image of the blood flow velocity within a preset time, and the blood flow cycle signal within a time period from t1 to t2 in the image can be obtained; meanwhile, the vessel wall position information of multiple frames in the preset time is also screened, the optimal vessel wall position is selected, and the vessel diameter is calculated, for example, the optimal vessel diameter can be the average vessel diameter corresponding to one cardiac cycle in the time period from t1 to t 2. It should be noted that step S4 is optionally optional.
And S5, calculating blood flow information of the blood vessel tissue according to the position of the blood vessel wall and the blood flow velocity in the preset time.
Since the cross section of the blood vessel structure in the target object is generally 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 of the circular area.
VF Area＝π*(VF Diam/2)2Wherein VF dim is preferably the average diameter of blood vessels within a corresponding one cardiac cycle within the time 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 a flow calculation formula, the numerical value of the blood flow is obtained by multiplying the blood flow velocity acquired in the ultrasonic 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, it is necessary to reasonably label the diameter calculated in step S6 in the blood vessel ultrasound image, and to label the position of the diameter calculated in step S2 in the blood vessel ultrasound image in the ultrasound B mode in the blood vessel ultrasound image, and to meet the visual impression of the doctor. Since the actual positions of the two walls of the blood vessel are not necessarily parallel, the diameter is not necessarily perpendicular to the two straight lines.
And S6, marking blood flow information on the blood vessel ultrasonic image.
Furthermore, the blood vessel diameter at the position corresponding to the blood flow information can be marked and displayed at the same position on the blood vessel ultrasonic image.
The position of a blood vessel wall can be determined by acquiring a blood vessel ultrasonic image of a target object in a first detection mode within preset time; then obtaining an ultrasonic Doppler image of the target object within a preset time in a second detection mode, and obtaining the blood flow velocity of the vascular tissue within the preset time; compared with the prior art, the blood flow measuring method has the advantages that the operation process is simpler, the manual marking and the back-and-forth image mode switching of medical personnel are not needed, and the examination efficiency is improved; and simultaneously, calculating the blood flow by using the blood vessel diameter data and the blood flow velocity data in a preset time. In addition, the blood flow velocity of the blood vessel wall position and the blood flow velocity in the preset time are screened, the optimal blood flow velocity period and the optimal 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 optimal 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, an automatic blood flow detection device based on an ultrasound image is further provided in the second embodiment of the present invention, and includes 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 data acquisition unit 1 scans a target object through an ultrasonic probe in a first detection mode to acquire a blood vessel ultrasonic image within a preset time, and scans the target object in a second detection mode to acquire an ultrasonic Doppler image within the preset time; the blood vessel diameter measuring unit 2 identifies the blood vessel wall position of the blood vessel tissue in the target object according to the blood vessel ultrasonic image and calculates the diameter of the blood vessel wall; the blood flow velocity detection unit 3 acquires the blood flow velocity of the blood vessel tissue within the preset time according to the ultrasonic Doppler image within the preset time; the blood flow calculation unit 5 calculates blood flow volume information of the blood vessel tissue according to the blood vessel wall position after screening and the blood flow velocity within a preset time; the calculation result display unit 6 marks blood flow volume information on the blood vessel ultrasound image.
In a preferred embodiment of this embodiment, the blood flow volume automatic detection device further includes a blood vessel wall diameter and blood flow velocity screening means 4, and the blood vessel wall diameter and blood flow velocity screening means 4 screens the blood flow velocity in the blood vessel wall position and a preset time before the blood flow velocity is calculated.
As shown in fig. 6, an operation flow of the automatic blood flow detection apparatus for ultrasound images according to the embodiment of the present invention specifically includes the following steps;
a1, obtaining a blood vessel ultrasonic image of a target object in a first detection mode through ultrasonic scanning;
a2, switching to Doppler mode;
a3, selecting measurement items:
a4, processing the blood vessel ultrasonic image to identify the blood vessel wall;
a5, setting a sampling gate to the blood flow area of the current corresponding blood vessel ultrasonic image;
a6, judging the effectiveness of the diameter of the blood vessel wall;
a7, if the judgment result in the step A6 is valid, taking the distance between the centers of the upper and lower tube walls at the position of the sampling door as the diameter output position of the blood vessel;
a8, marking blood vessel diameter information in the blood vessel ultrasonic image;
a9, calculating the area of the blood vessel according to the output blood vessel diameter information;
a10, obtaining the maximum and average blood flow velocity 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 carried out.
In some embodiments, a single-point blood flow measurement is taken as an example, but the present invention is not limited to a blood flow measurement at a single position, and may support blood flow measurements at a plurality of positions. Of course, in some embodiments, the blood flow at a single point may also be calculated by averaging blood flow measurements at points near the single point, or by averaging blood flow at multiple single points contained in a segment of the blood vessel to represent the blood flow in the segment.
Those skilled in the art will appreciate that all or part of the steps of the various methods in the above embodiments may be implemented by instructions associated with hardware via a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read-only memory, random access memory, magnetic or optical disk, and the like. Therefore, 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 embodiments, for example, a program for executing the method for obtaining a blood flow volume in an ultrasound image disclosed in any of the embodiments.
The foregoing is a more detailed description of the present application in connection with specific embodiments thereof, and it is not intended that the present application be limited to the specific embodiments thereof. It will be apparent to those skilled in the art from this disclosure that many more simple derivations or substitutions can be made without departing from the inventive concepts herein.
Claims (10)
1. An ultrasound image-based method for automated measurement of blood flow, comprising:
acquiring a blood vessel ultrasonic image of a target object in a first detection mode within preset time, and acquiring an ultrasonic Doppler image of the target object in a second detection mode within preset time;
identifying the vessel wall position of the vessel tissue in the target object according to the vessel ultrasonic image;
acquiring the blood flow speed of the vascular tissue within preset time according to the ultrasonic Doppler image;
calculating blood flow information of the vascular tissue according to the position of the vascular wall and the blood flow velocity in preset time;
and marking the blood flow information on the blood vessel ultrasonic image.
2. The method for automatically measuring blood flow based on ultrasound images as claimed in claim 1, wherein before calculating 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 comprises:
and screening the position of the blood vessel wall and the blood flow speed within a preset time.
3. The ultrasound-image-based automatic blood flow measurement method according to claim 2, wherein the screening of the blood flow velocity in a preset time and a blood vessel wall position includes:
screening out a blood flow periodic signal of a time period from a blood flow velocity image within preset time;
and calculating blood vessel diameter information from a plurality of frames of images of the positions of the blood vessel walls according to the time period of the blood flow periodic signals.
4. The method for automatically measuring blood flow based on ultrasound image according to claim 1, wherein the obtaining of ultrasound image of blood vessel of target object in first detection mode for preset time, and obtaining of ultrasound doppler image of target object in second detection mode for preset time comprises:
transmitting second ultrasonic waves in the same direction to a region containing vascular tissues in the target object, receiving a second echo signal, and acquiring an ultrasonic Doppler image of the target object within preset time;
transmitting a first ultrasonic wave to a region containing vascular tissues in a target object, receiving a first echo signal, and acquiring a first vascular ultrasonic image of the target object within preset time; and/or
And transmitting a third ultrasonic wave to the region containing the vascular tissue in the target object, receiving a third echo signal, and acquiring a second vascular ultrasonic image of the target object within preset time.
5. The ultrasound image-based automatic blood flow measurement method according to claim 1, wherein the identifying a vessel wall position of a vessel tissue in a target object from the vessel ultrasound image includes:
preprocessing the boundary characteristics of the blood vessel ultrasonic image;
carrying out segmentation processing on the blood vessel ultrasonic image after the pretreatment to obtain a binary image containing a blood vessel wall;
and setting a sampling gate for the blood flow area of the blood vessel ultrasonic image corresponding to the current time, and identifying the position of the blood vessel wall in the binary image according to the position information of the sampling gate.
6. The ultrasound image-based automatic blood flow measurement method according to claim 5, wherein the preprocessing of the boundary characteristics of the ultrasound image of the blood vessel comprises:
carrying out noise reduction processing on the obtained blood vessel ultrasonic image;
and carrying out anisotropic processing on the blood vessel ultrasonic image subjected to the noise reduction processing.
7. The method for automatically measuring blood flow based on ultrasound image according to claim 5 or 6, wherein the step of segmenting the preprocessed blood vessel ultrasound image to obtain a binary image containing the blood vessel wall comprises:
acquiring an edge contour of a blood vessel ultrasonic image;
and performing binary conversion on the blood vessel ultrasonic image according to the edge contour to obtain a segmented binary image containing a blood vessel wall.
8. An automatic blood flow measuring device based on ultrasonic images, comprising:
the data acquisition unit (1) scans a target object through an ultrasonic probe in a first detection mode to acquire a blood vessel ultrasonic image within preset time, and scans the target object in a second detection mode to acquire an ultrasonic Doppler image within preset time;
a blood vessel diameter measuring unit (2) 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 diameter of the blood vessel wall;
the blood flow velocity detection unit (3) is used for acquiring the blood flow velocity of the blood vessel tissue within preset time according to the ultrasonic Doppler image within the preset time;
a blood flow volume calculation unit (5) for calculating blood flow volume information of the vascular tissue from the position of the vascular wall and the blood flow velocity within a preset time;
and a calculation result display unit (6) for marking the blood flow information on the blood vessel ultrasonic 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 when executing the computer program implementing the ultrasound image based automatic blood flow measurement method according to any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the method for automatically measuring blood flow of an ultrasound image according to any one of claims 1 to 7.
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| CN113749690A (en) * | 2021-09-24 | 2021-12-07 | 无锡祥生医疗科技股份有限公司 | Blood flow measuring method and device for blood vessel and storage medium |
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| CN116531089A (en) * | 2023-07-06 | 2023-08-04 | 中国人民解放军中部战区总医院 | Image-enhancement-based blocking anesthesia ultrasonic guidance data processing method |
| 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 |
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