CN117522722A - Ultrasonic Doppler blood flow image processing method and related equipment - Google Patents

Ultrasonic Doppler blood flow image processing method and related equipment Download PDF

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Publication number
CN117522722A
CN117522722A CN202311250951.XA CN202311250951A CN117522722A CN 117522722 A CN117522722 A CN 117522722A CN 202311250951 A CN202311250951 A CN 202311250951A CN 117522722 A CN117522722 A CN 117522722A
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blood flow
boundary
flow image
pixel point
image processing
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李绘
孙瑞超
欧阳俊华
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Shenzhen Lanying Medical Technology Co ltd
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Shenzhen Lanying Medical Technology Co ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/06—Measuring blood flow
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48—Diagnostic techniques
    • A61B8/488—Diagnostic techniques involving Doppler signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5269—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving detection or reduction of artifacts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/13—Edge detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10132—Ultrasound image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • G06T2207/30104—Vascular flow; Blood flow; Perfusion

Abstract

The invention discloses an ultrasonic Doppler blood flow image processing method and related equipment, wherein the method comprises the following steps: acquiring an ultrasonic Doppler blood flow image, and calculating variances of all pixel points of the ultrasonic Doppler blood flow image in different directions; acquiring each boundary pixel point of a blood vessel in the ultrasonic Doppler blood flow image and the boundary direction of the boundary pixel point according to the variances of each pixel point of the ultrasonic Doppler blood flow image in different directions; and performing directional smoothing on each boundary pixel point of the ultrasonic Doppler blood flow image according to the boundary direction of each boundary pixel point, and performing two-dimensional spatial smoothing on the rest pixel points of the ultrasonic Doppler blood flow image. According to the invention, the smooth boundary along the boundary direction can be realized, the boundary sawtooth artifact is effectively improved, meanwhile, the smooth weight is reduced for the non-boundary part, the original hemodynamic characteristics are reserved, and the blood flow display effect is improved.

Description

Ultrasonic Doppler blood flow image processing method and related equipment
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to an ultrasound doppler blood flow image processing method, a blood flow image processing device, and a computer readable storage medium.
Background
The ultrasonic imaging is widely applied to the medical image diagnosis process due to the characteristics of no damage, low cost and real-time imaging, and the typical application scene of the ultrasonic is that ultrasonic signals generated by exciting an ultrasonic probe through high pressure are irradiated into a tested tissue and signals returned by the tissue are received.
Doppler blood flow imaging is another imaging mode of ultrasonic imaging, and utilizes the Doppler principle to perform two-dimensional imaging on blood flow motion (comprising a motion direction and a motion speed) in human tissues, and the speed and the direction of the blood flow motion are displayed through pseudo-color coding. Typically red indicates that blood flow is moving in the direction of the probe emission and blue indicates that blood flow is moving in the direction opposite the probe emission. The pseudo-color coded image is superimposed on the two-dimensional image, which can facilitate a doctor to observe two-dimensional anatomical structure information and blood flow movement information at the same time.
The principle of Doppler blood flow imaging is shown in fig. 1, echo signals are generated by transmitting the signals at the same position for multiple times, three blood flow components of speed, energy and variance can be obtained simultaneously after orthogonal demodulation, low-pass filtering, wall filtering and autocorrelation operation, noise signals and blood flow signals are separated through threshold processing of single or multiple components, and then the signals are output to a display for display after image post-processing and black-white image fusion.
Because the blood flow and noise signals often have space overlapping parts, in order to keep the image refresh frame rate, the number of points participating in the autocorrelation operation is usually small in the prior art, so that the signal to noise ratio of the blood flow signals is low, the speed, the energy and the variance after the autocorrelation are judged by a threshold value, color isolated noise can appear, or the problems of black holes in blood vessels, saw-tooth-like uneven edges and the like can occur, the image black holes can influence the blood flow imaging sensitivity, and the isolated noise signals can cause difficulty in judgment of operators and influence disease diagnosis.
Therefore, in the design process of the commercial ultrasonic machine, image processing operation is carried out on the obtained original blood flow signal, flicker noise of a final output image is weakened, black holes in blood flow are supplemented, and the edge is kept smooth.
The color image processing method commonly used in the prior art mainly performs spatial smoothing (including one-dimensional smoothing or two-dimensional spatial smoothing along the scanning line direction) on the blood flow signal, and the smoothed image can effectively improve boundary saw-tooth artifacts. Or firstly determining a blood flow signal boundary or a black hole mark according to the blood flow characteristics, and performing spatial smoothing processing only on the boundary or the black hole mark point, so that normal blood flow signal imaging is not affected.
However, in the prior art, the smoothing effect is often poor, so that the problems of blurring, resolution reduction and the like of the smoothed image are caused.
Disclosure of Invention
The invention aims to provide an ultrasonic Doppler blood flow image processing method and related equipment, and aims to solve the problem that the blood flow image smoothing effect is poor in the prior art.
The technical scheme adopted for solving the technical problems is as follows:
the invention provides an ultrasonic Doppler blood flow image processing method, which comprises the following steps:
acquiring an ultrasonic Doppler blood flow image, and calculating variances of all pixel points of the ultrasonic Doppler blood flow image in different directions;
acquiring each boundary pixel point of a blood vessel in the ultrasonic Doppler blood flow image and the boundary direction of the boundary pixel point according to the variances of each pixel point of the ultrasonic Doppler blood flow image in different directions;
and performing directional smoothing on each boundary pixel point of the ultrasonic Doppler blood flow image according to the boundary direction of each boundary pixel point, and performing two-dimensional spatial smoothing on the rest pixel points of the ultrasonic Doppler blood flow image.
Further, the calculating the variance of each pixel point of the ultrasonic Doppler blood flow image in different directions specifically comprises:
and calculating the sum of the differences between each pixel point and the adjacent two pixel points in each direction as the variance of each pixel point in each direction.
Further, according to the variances of the pixels in different directions of the ultrasound doppler blood flow image, the acquiring each boundary pixel of the blood vessel and the boundary direction of the boundary pixel specifically includes:
acquiring the maximum variance of variances of each point of the ultrasonic Doppler blood flow image in all directions;
and taking a point with the maximum variance larger than a set variance threshold value as a boundary pixel point, and taking the direction of the maximum variance of the boundary pixel point as a boundary direction.
Further, performing directional smoothing on each boundary pixel point of the ultrasound doppler blood flow image according to the boundary direction of each boundary pixel point specifically includes:
calculating the weighted average value of each boundary pixel point and each adjacent two points in the boundary direction as a value after self directivity smoothing;
the performing two-dimensional spatial smoothing on the rest pixel points of the ultrasonic Doppler blood flow image specifically comprises:
and calculating the weighted average value of the pixel points in the range of the smoothing window with the pixel points as the center as a value after self smoothing.
Further, the method further comprises the following steps:
acquiring input first parameter settings;
and adjusting the number of directions and the smooth window width according to the first parameter setting.
Further, the performing directional smoothing on each boundary pixel point of the ultrasound doppler blood flow image according to the boundary direction of each boundary pixel point performs a first number of cycles, and performing two-dimensional spatial smoothing on the remaining pixel points of the ultrasound doppler blood flow image performs a second number of cycles.
Further, the method further comprises the following steps:
acquiring input second parameter settings;
and adjusting the first circulation times and the second circulation times according to the second parameter setting.
Further, the method further comprises the following steps:
acquiring current image processing switch settings;
if the image processing switch is set to be on, outputting the smoothed image of each pixel point;
if the image processing switch is set to be off, the original image of each pixel point is output.
In addition, in order to achieve the above object, the present invention also provides a blood flow image processing apparatus including: the system comprises a memory, a processor and an ultrasonic Doppler blood flow image processing program which is stored in the memory and can run on the processor, wherein the ultrasonic Doppler blood flow image processing program is executed by the processor to control a terminal to realize the steps of the ultrasonic Doppler blood flow image processing method.
In addition, in order to achieve the above object, the present invention also provides a computer-readable storage medium storing an ultrasound doppler blood flow image processing program which, when executed by a processor, implements the steps of the ultrasound doppler blood flow image processing method as described above.
The technical scheme adopted by the invention has the following effects:
according to the method, firstly, neighborhood analysis is carried out on a blood flow image, variances in different directions are calculated, a boundary and a boundary main direction are obtained according to the direction with larger variances, directional smoothing treatment is carried out on the blood vessel boundary of the blood flow image according to the boundary main direction mark, and common smoothing treatment is carried out on the conventional direction, so that the boundary can be smoothed along the boundary direction, the boundary sawtooth artifact can be effectively improved, meanwhile, the smoothing weight is reduced for a non-boundary part, the original hemodynamic characteristics are reserved, and the blood flow display effect is improved.
Drawings
FIG. 1 is a schematic diagram of a conventional prior art ultrasonic color Doppler ultrasound imaging device;
FIG. 2 is a flow chart of the steps of a method for processing an ultrasound Doppler blood flow image in a preferred embodiment of the invention;
FIG. 3 is a flow chart of a method of processing an ultrasound Doppler blood flow image in a preferred embodiment of the invention;
FIG. 4 is a diagram showing direction division when calculating direction variance according to the preferred embodiment of the present invention;
FIG. 5 is a graph showing absolute values of velocity of an ultrasound Doppler blood flow image in accordance with a preferred embodiment of the present invention;
FIG. 6 is a schematic illustration of a blood flow boundary obtained in a preferred embodiment of the present invention;
FIG. 7 is a schematic view of the direction of the boundary of the blood flow obtained in the preferred embodiment of the present invention;
FIG. 8 is a schematic diagram of an ultrasonic color Doppler ultrasound imaging device applied to a blood flow image processing apparatus in a preferred embodiment of the present invention;
FIG. 9 is a schematic view illustrating an operation environment of a preferred embodiment of a blood flow image processing apparatus according to an embodiment of the present invention
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear and clear, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Example 1
The existing blood flow image processing method mainly performs isotropic spatial smoothing processing on blood flow signals.
For example, in the prior art, there is a boundary processing method for color blood flow imaging, first, boundary points are found according to a velocity or energy diagram, and weighted average processing is performed on the boundary points through a neighborhood image, so as to improve the boundary imaging effect. The method adopts isotropic smoothing, and when the smoothing times or the smoothing window are smaller, the boundary improvement is not obvious. Increasing the number of smooths or smoothing window results in too blurred boundary smooths, which can reduce the flow imaging resolution for small blood vessels.
As another example, the prior art also proposes a similar processing method, except that a boundary marking method is acquired. Firstly, a blood flow mark is determined according to the speed and the energy, then, two-dimensional space smoothing processing is carried out on the mark, and the blood flow boundary is determined according to the difference of the blood flow marks before and after smoothing.
For another example, the prior art also provides a blood flow image processing method, in which blood vessel direction is marked through a velocity and energy diagram, boundary blood flows disconnected from the same direction mark are connected through interpolation, so as to improve blood flow sensitivity, but the blood vessel direction marking method is judged through the number of continuous blood flow pixels in different directions, and the blood vessel boundary judging method for small blood vessels or hearts and the like is not applicable any more. Meanwhile, the method has no obvious effect on improving boundary blood flow.
As another example, the prior art also proposes a blood flow image post-processing method, which performs two-dimensional smoothing on blood flow velocity, energy and variance images, and does not perform differential processing on blood flow boundary and non-boundary portions, and uses the same smoothing window to perform processing on the whole blood flow image, when the smoothing is smaller, the improvement on boundary saw teeth is not obvious, and when the smoothing is larger, the whole blood flow image is blurred, and the resolution of the blood flow image is affected.
For another example, the prior art also provides a post-processing method of Doppler blood flow images, which is used for carrying out weighted average on blood flow velocity and energy images by using odd number of neighborhood points, and space average processing is only carried out on velocity non-zero points, so that velocity abnormal points participating in space average are reduced, and intravascular cavities and tissue isolated points in color blood flow are effectively eliminated. This approach removes zero values when smoothing the vessel boundary, while improving the continuity of the boundary, it also results in the blood flow boundary being less obvious in hemodynamic characteristics.
Aiming at the defects of the smoothing method in the prior art, the ultrasonic Doppler blood flow image processing method aims at solving the problem that the smoothing effect of the prior art on the blood flow image is poor.
Referring to fig. 2, an embodiment of the present application is an ultrasound doppler blood flow image processing method. Specifically, please refer to fig. 2 and 3, which include the steps of:
s1, acquiring an ultrasonic Doppler blood flow image, and calculating variances of pixel points of the ultrasonic Doppler blood flow image in different directions;
specifically, as shown in fig. 4, variances in different directions are calculated in the neighborhood of any point in the two-dimensional image.
In this embodiment, the ultrasound doppler blood flow image is divided into 6 directions, and in other alternative embodiments, the ultrasound doppler blood flow image may be divided into 8 directions or 4 directions, and other numbers of directions, it should be noted that the better the direction is, the better the multi-directional smoothing effect is, but the larger the calculation amount is.
In addition, the calculated window width is also related to how much of the direction is, and in this embodiment, the window widths for 6 directions, specifically 3*5, are calculated.
In this embodiment, the variances of 6 directions are calculated, respectively, where the variance of the pixel point a in the direction m is the sum of differences between several adjacent points of the pixel point a in the direction m:
Var(m,a)＝abs(DataIn(m,a+1)-DataIn(m,a))+abs(DataIn(m,a)-DataIn(m,a-1))；
where Var (m, a) represents the variance of the pixel point a in the m direction, abs is an absolute function, dataIN (m, a) represents the value of the pixel point a, dataIN (m, a+1) represents the value of the next point of the pixel point a in the m direction, and DataIN (m, a-1) represents the value of the previous point of the pixel point a in the m direction.
The value of the pixel point may be a value of a velocity of the blood flow or an energy value of the blood flow according to an actual situation, and in this embodiment, the value is specifically a value of an absolute value of the velocity of the blood flow.
In this embodiment, the direction of the pixel point in the-3 th direction of the pixel point coordinate (i, j) is taken as an example, and the variance calculation method is as follows:
Var(m,i,j)＝abs(DataIn(i,j)-DataIn(i-1,j))+abs(DataIn(i+1,j)-DataIn(i,j))；
wherein (i, j) represents the coordinate of the data in the two-dimensional space, m represents the direction index, in this example, m is-3, the next point of the pixel point with the coordinate of (i, j) in the-3 direction is the pixel point with the coordinate of (i+1, j), and the last point of the pixel point with the coordinate of (i, j) in the-3 direction is the pixel point with the coordinate of (i-1, j). The remaining direction calculation method is similar.
S2, acquiring each boundary pixel point of the blood vessel and the boundary direction of the boundary pixel point according to the variances of each pixel point of the ultrasonic Doppler blood flow image in different directions.
Specifically, the variance is a measure of the degree of discretization of the measured data, and the variance at the boundary is greater than at the non-boundary, so the present invention determines the main boundary direction based on the magnitude of the variance. In the present embodiment, a variance threshold Var is provided th If the maximum variance of the pixel points is greater than the preset threshold Var th And if not, the pixel point is a non-boundary.
That is, in the present embodiment, the maximum variance direction (i, j) of the pixel point with coordinates (i, j) in each direction is calculated first:
direction(i,j)＝max{Var(m,i,j)}；
if the maximum variance direction (i, j) is greater than the preset threshold Var th The pixel with coordinates (i, j) is the boundary pixel.
An example of directional smoothing of a renal blood flow image is shown in fig. 4, (a) shows the absolute value of the renal velocity, (b) shows the boundary of the renal blood flow obtained by the maximum variance, and (c) shows the main direction of the boundary obtained from the direction of the maximum variance. From the figure, the method of the invention can accurately find the boundary of kidney blood flow.
direction(i,j)＝max{Var(m,i,j)}；
S3, performing directional smoothing on each boundary pixel point of the ultrasonic Doppler blood flow image according to the boundary direction of each boundary pixel point, and performing two-dimensional spatial smoothing on the rest pixel points of the ultrasonic Doppler blood flow image.
In this embodiment, different smoothing methods are used for boundary and non-boundary portions for one point in the two-dimensional image.
And performing directional smoothing on the boundary part, namely solving a weighted average value of a plurality of adjacent points of the boundary pixel point and the boundary pixel point in the boundary direction.
For example, if the pixel of coordinate (i, j) is in the direction-2, the smoothing algorithm is as follows:
DataSmooth(i,j)＝w0*DataIn(i-1,j-1)+w1*DataIn(i,j)+w2*DataIn(i+,j+1)；
wherein w0, w1, w2 respectively represent weights of three pixel points smoothed in the direction, and DataSmooth (i, j) is a value of the smoothed pixel point of the coordinate (i, j).
Two-dimensional spatial smoothing is performed for non-boundary portions, taking 3*3 smoothing as an example:
where w (m, n) represents the weight corresponding to each point of the spatial smoothing.
In order to increase the smoothing effect, step S3 may be performed in a loop a plurality of times. And continuing to process the image after the boundary artifact is restrained, fusing the speed, variance and energy map after the image processing with the black-and-white image, and outputting the image after the pseudo-color coding to a display for displaying.
Optionally, in this embodiment, parameter settings and image switch processing settings are further received, and specifically, adjustable gear positions may be set on the blood flow image processing apparatus running in the method, where the receiving parameter settings may be to obtain current gear position settings, and each gear position presets different processing parameters, such as a direction number, a boundary sliding window size, and a cycle number, a non-boundary portion sliding window size, and a cycle number, and according to the obtained gear position settings, the corresponding direction number, boundary sliding window size, and cycle number, and non-boundary portion sliding window size, and cycle number are set.
Or the user can manually adjust through a menu interface, input parameters such as the number of directions, the size of the boundary smooth window, the number of times of circulation, the size of the non-boundary smooth window, the number of times of circulation and the like, and directly control and adjust.
Different processing parameters can be set according to different probes and different examinations, and when a user selects a corresponding probe or a corresponding examination, different post-processing parameters are loaded, for example, a smooth window can be reduced for small blood vessels such as thyroid, kidneys and the like, better resolution can be maintained, a smooth window can be increased for large blood vessels such as heart, carotid arteries and the like, and better black holes and boundaries can be smoothed.
And, optionally, an image processing switch may also be provided on the blood flow image processing apparatus operated by the method, and the method may obtain the current image processing switch setting; if the image processing switch is set to be on, outputting the smoothed image of each pixel point; if the image processing switch is set to be off, the original image of each pixel point is output.
According to the invention, the blood flow signal boundary mark and the signal boundary main direction are determined by analyzing the directional variance of the blood flow energy or the absolute value of the blood flow velocity, and the blood flow velocity or the energy image is subjected to directional smoothing according to the boundary direction, so that the continuity of the blood flow boundary can be improved, the spatial resolution of the blood flow signal is not influenced, black holes and isolated noise in an original image are eliminated, the boundary saw-tooth artifact is improved, and the hemodynamic display characteristics of the blood flow image are improved.
Example two
Referring to fig. 3, based on the above method, the present invention further provides a blood flow image processing apparatus, as shown in fig. 5, which is a component of a conventional ultrasound color doppler ultrasound imaging device.
In an ultrasonic color Doppler ultrasonic imaging apparatus, a probe thereof transmits and receives ultrasonic waves, and a controller thereof performs beam forming and I/Q demodulation and low-pass filtering operations on ultrasonic echoes, parses the data into black-and-white image data and color blood flow image data, and processes them respectively. For blood flow image data, wall filtering operation is carried out to filter clutter caused by slow movement of tissues, then autocorrelation operation is carried out to obtain three blood flow components of speed, energy and variance, and blood flow signals and noise signals are separated according to threshold processing.
And after separation, performing blood flow image processing through a blood flow image processing device. The blood flow image processing apparatus includes: the system comprises a memory 10, a processor 20 and an ultrasonic Doppler blood flow image processing program which is stored in the memory 10 and can run on the processor 20, wherein the ultrasonic Doppler blood flow image processing program is executed by the processor 20 to control a terminal to realize the steps of the ultrasonic Doppler blood flow image processing method.
The controller of the ultrasonic color Doppler ultrasonic imaging device performs black-and-white image processing operation on the black-and-white image, then performs image fusion on the processed black-and-white image and the blood flow image, and finally outputs the processed black-and-white image and the blood flow image to the display for display.
The blood flow image processing device is turned on or off by a switch, and is turned off when the original image needs to be focused, and is turned on when the blood flow imaging effect is desired to be improved. And a plurality of gears can be set, and each gear is preset with different processing parameters, such as the number of directions, the size of a boundary smooth window, the number of circulation times, the size of a non-boundary smooth window, the number of circulation times and the like. The degree of processing of different gears is different, and the user can be adjusted manually through a menu interface. Different processing parameters can be set according to different probes and different examinations, and when a user selects a corresponding probe or a corresponding examination, different post-processing parameters are loaded, for example, a smooth window can be reduced for small blood vessels such as thyroid, kidneys and the like, better resolution can be maintained, a smooth window can be added for large blood vessels such as heart, carotid arteries and the like, and better black holes and boundaries can be smoothed.
The memory 20 may in some embodiments be an internal storage unit of the terminal, such as a hard disk or a memory of the terminal. The memory 20 may in other embodiments also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal. Further, the memory 20 may also include both an internal storage unit and an external storage device of the terminal. The memory 20 is used for storing application software installed in the terminal and various data, such as program codes of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 20 stores an ultrasound doppler blood flow image processing program that is executable by the processor 10 to implement the ultrasound doppler blood flow image processing method of the present application.
The processor 10 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for executing program code or processing data stored in the memory 20, for example performing the ultrasound doppler blood flow image processing method or the like.
Example III
The present embodiment provides a storage medium, wherein the computer-readable storage medium stores an ultrasound doppler blood flow image processing program which, when executed by a processor, implements the steps of the ultrasound doppler blood flow image processing method described above.
In summary, the method comprises the steps of carrying out neighborhood analysis on the blood flow image, calculating variances in different directions, obtaining a boundary and a boundary main direction according to the direction with larger variances, carrying out directional smoothing on the blood vessel boundary of the blood flow image according to the boundary main direction mark, and carrying out common smoothing on the normal direction, wherein smoothing on the boundary along the boundary direction can be realized through the processing, the boundary sawtooth artifact is effectively improved, meanwhile, the smoothing weight is reduced on the non-boundary part, the original hemodynamic characteristics are reserved, and the blood flow display effect is improved.
It should 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 terminal 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 terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal comprising the element.
Of course, those skilled in the art will appreciate that implementing all or part of the above-described methods may be implemented by a computer program for instructing relevant hardware (such as a processor, a controller, etc.), where the program may be stored in a computer-readable storage medium, and where the program may include the steps of the above-described method embodiments when executed. The storage medium may be a memory, a magnetic disk, an optical disk, or the like.
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.

Claims (10)

1. An ultrasonic doppler flow image processing method, comprising:
acquiring an ultrasonic Doppler blood flow image, and calculating variances of all pixel points of the ultrasonic Doppler blood flow image in different directions;
acquiring each boundary pixel point of a blood vessel in the ultrasonic Doppler blood flow image and the boundary direction of the boundary pixel point according to the variances of each pixel point of the ultrasonic Doppler blood flow image in different directions;
and performing directional smoothing on each boundary pixel point of the ultrasonic Doppler blood flow image according to the boundary direction of each boundary pixel point, and performing two-dimensional spatial smoothing on the rest pixel points of the ultrasonic Doppler blood flow image.
2. The method for processing an ultrasonic doppler blood flow image according to claim 1, wherein the calculating the variances of the pixels of the ultrasonic doppler blood flow image in different directions is specifically:
and calculating the sum of the differences between each pixel point and the adjacent two pixel points in each direction as the variance of each pixel point in each direction.
3. The method according to claim 1, wherein obtaining boundary pixel points of a blood vessel and boundary directions of the boundary pixel points specifically includes:
acquiring the maximum variance of variances of each point of the ultrasonic Doppler blood flow image in all directions;
and taking a point with the maximum variance larger than a set variance threshold value as a boundary pixel point, and taking the direction of the maximum variance of the boundary pixel point as a boundary direction.
4. The method according to claim 1, wherein performing directional smoothing on each boundary pixel point of the ultrasound doppler blood flow image according to the boundary direction of each boundary pixel point is specifically:
calculating the weighted average value of each boundary pixel point and each adjacent two points in the boundary direction as a value after self directivity smoothing;
the performing two-dimensional spatial smoothing on the rest pixel points of the ultrasonic Doppler blood flow image specifically comprises:
and calculating the weighted average value of the pixel points in the range of the smoothing window with the pixel points as the center as a value after self smoothing.
5. The method of processing an ultrasound doppler flow image of claim 4, further comprising:
acquiring input first parameter settings;
and adjusting the number of directions and the smooth window width according to the first parameter setting.
6. The method according to claim 1, wherein the performing directional smoothing on each boundary pixel point of the ultrasound doppler flow image according to the boundary direction of each boundary pixel point performs a first number of cycles, and the performing two-dimensional spatial smoothing on the remaining pixel points of the ultrasound doppler flow image performs a second number of cycles.
7. The method of processing an ultrasound doppler flow image of claim 6, further comprising:
acquiring input second parameter settings;
and adjusting the first circulation times and the second circulation times according to the second parameter setting.
8. The ultrasound doppler flow image processing method of claim 1, further comprising:
acquiring current image processing switch settings;
if the image processing switch is set to be on, outputting the smoothed image of each pixel point;
if the image processing switch is set to be off, the original image of each pixel point is output.
9. A blood flow image processing apparatus, characterized in that the blood flow image processing apparatus comprises: a memory, a processor and an ultrasound doppler flow image processing program stored on the memory and executable on the processor, the ultrasound doppler flow image processing program being executed by the processor to control a terminal to implement the steps of the ultrasound doppler flow image processing method of any one of claims 1 to 8.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores an ultrasound doppler blood flow image processing program which, when executed by a processor, implements the steps of the ultrasound doppler blood flow image processing method according to any one of claims 1-8.
CN202311250951.XA 2023-09-26 2023-09-26 Ultrasonic Doppler blood flow image processing method and related equipment Pending CN117522722A (en)

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