CN112085697A - Ultrasonic image quality evaluation method and device, ultrasonic scanning equipment and storage medium - Google Patents

Ultrasonic image quality evaluation method and device, ultrasonic scanning equipment and storage medium Download PDF

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CN112085697A
CN112085697A CN202010733088.3A CN202010733088A CN112085697A CN 112085697 A CN112085697 A CN 112085697A CN 202010733088 A CN202010733088 A CN 202010733088A CN 112085697 A CN112085697 A CN 112085697A
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image
ultrasonic
noise ratio
current image
current
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谈继勇
李元伟
俞林昊
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Shenzhen Hanwei Intelligent Medical Technology Co ltd
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Shenzhen Hanwei Intelligent Medical Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10132—Ultrasound image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • 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
    • G06T2207/30168—Image quality inspection

Abstract

The invention discloses an ultrasonic image quality evaluation method, which comprises the following steps: acquiring a current image and a reference image, wherein the current image is a currently acquired ultrasonic image; calculating the peak signal-to-noise ratio and the structural similarity of the current image and the reference image, and evaluating the imaging quality of the current image according to the calculation results of the peak signal-to-noise ratio and the structural similarity; if the calculated values of the peak signal-to-noise ratio and the structural similarity are larger than preset values, confirming the current image as an effective ultrasonic image; and if the calculated value of the peak signal-to-noise ratio or the structural similarity is smaller than a preset value, determining the current image as an invalid ultrasonic image. The ultrasonic image quality evaluation method provided by the invention can be used for carrying out real-time quality evaluation on the ultrasonic image acquired by the ultrasonic scanning equipment, so that an invalid ultrasonic image is avoided, and the screening error rate is reduced. In addition, the invention also discloses an ultrasonic image quality evaluation device, ultrasonic scanning equipment and a storage medium.

Description

Ultrasonic image quality evaluation method and device, ultrasonic scanning equipment and storage medium
Technical Field
The invention relates to the field of ultrasonic image processing, in particular to an ultrasonic image quality evaluation method and device, ultrasonic scanning equipment and a storage medium.
Background
The ultrasound image is a medical image obtained by performing ultrasound scanning on a human body part, and after the ultrasound image is obtained, a doctor of a medical imaging department reads the ultrasound image or performs AI diagnosis through an intelligent diagnosis system so as to give a diagnosis result.
It can be understood that when the ultrasonic scanning device scans a human body, the attachment degree of the ultrasonic probe to the skin surface of the human body, the contact pressure between the ultrasonic probe and the skin surface of the human body, the scanning speed of the ultrasonic probe, and the like directly affect the imaging quality of the ultrasonic image. And the ultrasound image with low imaging quality can not be identified normally, and can not be observed normally by the doctor, namely the ultrasound image is an invalid image.
However, after the ultrasound scanning device acquires the ultrasound image, whether the ultrasound image has low imaging quality or the ultrasound image has high imaging quality, the ultrasound scanning device usually takes the ultrasound image to a doctor for film reading so as to make an ultrasound diagnosis result. However, due to the unclear image of the low-quality ultrasound image, when a doctor reads the ultrasound image, the problem of inaccurate film reading caused by the unclear ultrasound image exists, and thus a diagnosis error may occur.
Disclosure of Invention
The invention mainly aims to provide an ultrasonic image quality evaluation method, and aims to solve the technical problem that the existing ultrasonic image is low in imaging quality.
In order to achieve the above object, the present invention provides an ultrasound image quality evaluation method, including: acquiring a current image and a reference image, wherein the current image is a currently acquired ultrasonic image; calculating the peak signal-to-noise ratio and the structural similarity of the current image and the reference image, and evaluating the imaging quality of the current image according to the calculation results of the peak signal-to-noise ratio and the structural similarity; if the calculated values of the peak signal-to-noise ratio and the structural similarity are larger than preset values, confirming the current image as an effective ultrasonic image; and if the calculated value of the peak signal-to-noise ratio or the structural similarity is smaller than a preset value, determining the current image as an invalid ultrasonic image.
Preferably, the peak signal-to-noise ratio is calculated according to the following formula:
Figure BDA0002603931200000021
Figure BDA0002603931200000022
wherein the MSE is a mean square error, the PSNR is a peak signal-to-noise ratio, I (I, j) is a reference image, K (I, j) is a current image, mn is pixel sizes of the reference image and the current image, and the MSE is a mean square error, the PSNR is a peak signal-to-noise ratio, the I (I, j) is a reference image, the K (I, j) is a current
Figure BDA0002603931200000023
Is the maximum pixel value of the reference image.
Preferably, the structural similarity is calculated according to the following formula:
SSIM(X，Y)＝[l(X，Y]α[c(X，Y)]β[s(X，Y)]γ
Figure BDA0002603931200000024
Figure BDA0002603931200000025
wherein the SSIM (X, Y) is a structural similarity, the l (X, Y) is a brightness comparison function, the c (X, Y) is a contrast comparison function, the s (X, Y) is a structural comparison function, and the u is a color valuex、σx、σxyThe mean value of the reference image X, the standard deviation of the reference image X and the variance of the reference image X and the current image Y are respectivelyy、σyRespectively mean and standard deviation of the current image Y, c1、c2、c3Is a normal number.
Preferably, the ultrasound image quality evaluation method further includes:
if the current image is an effective ultrasonic image, continuing ultrasonic scanning;
and if the current image is an invalid ultrasonic image, stopping ultrasonic scanning or adjusting scanning parameters and then carrying out ultrasonic scanning again.
The present invention also provides an ultrasound image quality evaluation apparatus, including: the image acquisition module is used for acquiring a current image and a reference image, wherein the current image is a currently acquired ultrasonic image;
the quality evaluation module is used for calculating the peak signal-to-noise ratio and the structural similarity of the current image and the reference image and evaluating the imaging quality of the current image according to the calculation results of the peak signal-to-noise ratio and the structural similarity;
the first confirming module is used for confirming the current image as an effective ultrasonic image when the calculated value of the peak signal-to-noise ratio and the structural similarity is larger than a preset value;
and the second confirming module is used for confirming the current image as an invalid ultrasonic image when the calculated value of the peak signal-to-noise ratio or the structural similarity is smaller than a preset value.
Preferably, the peak signal-to-noise ratio is calculated according to the following formula:
Figure BDA0002603931200000031
Figure BDA0002603931200000032
wherein the MSE is a mean square error, the PSNR is a peak signal-to-noise ratio, I (I, j) is a reference image, K (I, j) is a current image, mn is pixel sizes of the reference image and the current image, and the MSE is a mean square error, the PSNR is a peak signal-to-noise ratio, the I (I, j) is a reference image, the K (I, j) is a current
Figure BDA0002603931200000033
Is a reference drawingMaximum pixel value of the image.
Preferably, the structural similarity is calculated according to the following formula:
SSIM(X，Y)＝[l(X，Y)]α[c(X，Y)]β[s(X，Y)]γ
Figure BDA0002603931200000034
Figure BDA0002603931200000035
wherein the SSIM (X, Y) is a structural similarity, the l (X, Y) is a brightness comparison function, the c (X, Y) is a contrast comparison function, the s (X, Y) is a structural comparison function, and the u is a color valuex、σx、σxyThe mean value of the reference image X, the standard deviation of the reference image X and the variance of the reference image X and the current image Y are respectivelyy、σyRespectively mean and standard deviation of the current image Y, c1、c2、c3Is a normal number.
Preferably, the ultrasound image quality evaluation apparatus further includes:
the first control module is used for continuing ultrasonic scanning when the current image is a valid ultrasonic image;
and the second control module is used for stopping ultrasonic scanning or adjusting scanning parameters and then carrying out ultrasonic scanning again when the current image is an invalid ultrasonic image.
The invention also provides an ultrasonic scanning device, which comprises:
a memory for storing a computer program;
a processor, configured to implement the ultrasound image quality assessment method described in the foregoing embodiments when executing the computer program.
The present invention also provides a storage medium, which stores a computer program, and the computer program is executed by a processor to implement the ultrasound image quality evaluation method described in the foregoing embodiments.
Compared with the prior art, the embodiment of the invention has the beneficial technical effects that:
the ultrasonic image quality evaluation method provided by the embodiment of the invention can be used for carrying out real-time quality evaluation on the ultrasonic image acquired by the ultrasonic scanning equipment, so that an invalid ultrasonic image is avoided, and the screening error rate is reduced. When an invalid ultrasonic image appears, the fitting degree of the ultrasonic probe and the surface of the skin of the human body can be judged in real time, and then the fitting track of the ultrasonic probe is adjusted in real time by combining the fed-back definition of the current ultrasonic image, so that the purpose of improving the imaging quality of the ultrasonic image is achieved. Similarly, when an invalid ultrasonic image appears, the contact pressure between the ultrasonic probe and the surface of the skin of the human body can be judged in real time, and the contact pressure is adjusted in real time by combining the fed-back definition of the current ultrasonic image, so that the purpose of improving the imaging quality of the ultrasonic image is achieved. In addition, when an invalid ultrasonic image appears, the scanning speed of the ultrasonic probe can be judged in real time, and then the scanning speed of the ultrasonic probe is adjusted in real time by combining the fed-back definition of the current ultrasonic image, so that the aim of improving the imaging quality of the ultrasonic image is fulfilled.
Drawings
FIG. 1 is a flowchart illustrating an ultrasound image quality assessment method according to an embodiment of the present invention;
FIG. 2 is a functional block diagram of an ultrasound image quality assessment apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be illustrative of the present invention and should not be construed as limiting the present invention, and all other embodiments that can be obtained by one skilled in the art based on the embodiments of the present invention without inventive efforts shall fall within the scope of protection of the present invention.
The invention provides an ultrasound image quality evaluation method, in an embodiment, referring to fig. 1, the ultrasound image quality evaluation method includes the following steps:
step S10, acquiring a current image and a reference image, wherein the current image is a currently acquired ultrasonic image;
in this embodiment, a current ultrasound image is obtained through the ultrasound scanning device, and the current image needs to be subjected to quality evaluation through the image quality evaluation system, and an evaluation result is fed back to the ultrasound scanning device. When the image quality evaluation system gives that the current ultrasonic image is invalid, the ultrasonic scanning equipment can adjust parameters of ultrasonic scanning in real time according to the feedback result, such as the attaching degree of the ultrasonic probe and the surface of the skin of the human body, the contact pressure of the ultrasonic probe and the surface of the skin of the human body, the scanning speed of the ultrasonic probe and the like, so that the ultrasonic image scanned by the ultrasonic scanning equipment is an effective ultrasonic image.
It can be understood that the reference image is used to compare the pixel points of the reference image with the pixel points of the current image in a one-to-one correspondence manner, that is, the quality of the current image to be evaluated can be subjected to quality analysis by an error signal obtained after comparing with the signal of the reference image.
Step S20, calculating the peak signal-to-noise ratio and the structural similarity of the current image and the reference image, and evaluating the imaging quality of the current image according to the calculation results of the peak signal-to-noise ratio and the structural similarity;
in this embodiment, the peak signal-to-noise ratio is a quality evaluation method based on image pixel statistics, and the quality of the current image to be evaluated is measured from a statistical perspective by calculating the difference between the gray values of the corresponding pixel points of the current image to be evaluated and the reference image.
The peak signal-to-noise ratio is calculated according to the following formula:
Figure BDA0002603931200000051
Figure BDA0002603931200000052
wherein MSE is mean square error, PSNR is peak signal-to-noise ratio, I (I, j) is reference image, K (I, j) is current image, mn is pixel size of the reference image and the current image,
Figure BDA0002603931200000053
is the maximum pixel value of the reference image.
It can be understood that both PSRN and MSE measure the quality of the image by calculating the global magnitude of the pixel error between the current image to be evaluated and the reference image. The larger the PSRN value is, the smaller the distortion between the current image to be evaluated and the reference image is, and the better the image quality is; and a smaller MSE value indicates better image quality.
In this embodiment, the structural similarity measures the image similarity from three aspects of brightness, contrast, and structure, and the structural similarity is calculated according to the following formula:
SSIM(X，Y)＝[l(X，Y)]α[c(X，Y)]β[s(X，Y)]γ
Figure BDA0002603931200000061
Figure BDA0002603931200000062
wherein SSIM (X, Y) is the structural similarity, l (X, Y) is the brightness comparison function, c (X, Y) is the contrast comparison function, s (X, Y) is the structural comparison function, ux、σx、σxyThe mean value of the reference image X, the standard deviation of the reference image X and the variance u of the reference image X and the current image Yy、σyMean and standard deviation, c, respectively, of the current image Y1、c2、c3Is a normal number.
The structural similarity between a reference image and a current image to be evaluated is constructed by the SSIM according to the correlation among image pixels, the value range of the SSIM is [0,1], and the larger the value of the SSIM is, the smaller the image distortion is, and the better the image quality is.
In practical application, an image can be blocked by using a sliding window, the total number of blocks is N, the influence of the window shape on the blocks is considered, the mean value, the variance and the covariance of each window are calculated by adopting Gaussian weighting, then the structural similarity SSIM of the corresponding block is calculated, and finally the mean value is taken as the structural similarity measurement of a reference image and a current image to be evaluated, namely the average structural similarity SSIM:
Figure BDA0002603931200000063
step S30, if the calculated value of the peak signal-to-noise ratio and the structural similarity is larger than a preset value, determining the current image as an effective ultrasonic image;
in this embodiment, after the peak signal-to-noise ratio PSRN value and the structural similarity SSIM value are obtained through calculation, the peak signal-to-noise ratio PSRN value and the structural similarity SSIM value are respectively compared with a preset standard PSRN value and a standard SSIM value, and if both the PSRN value and the SSIM value are greater than the corresponding standard values, the current image can be determined as an effective ultrasound image.
In step S40, if the calculated value of the peak signal-to-noise ratio or the structural similarity is smaller than the preset value, the current image is determined to be an invalid ultrasound image.
In this embodiment, after the peak signal-to-noise ratio PSRN value and the structural similarity SSIM value are obtained through calculation, the peak signal-to-noise ratio PSRN value and the structural similarity SSIM value are respectively compared with a preset standard PSRN value and a standard SSIM value, and if the PSRN value or the SSIM value is smaller than a corresponding standard value, the current image can be determined as an invalid ultrasound image.
In an embodiment, the method for evaluating quality of an ultrasound image further includes:
if the current image is a valid ultrasonic image, continuing ultrasonic scanning;
and if the current image is an invalid ultrasonic image, stopping ultrasonic scanning or adjusting scanning parameters and then carrying out ultrasonic scanning again.
In this embodiment, when the ultrasound scanning device acquires an invalid ultrasound image, the ultrasound scanning device may send an alarm and stop the current ultrasound scanning, or perform scanning again after adjusting ultrasound scanning parameters, such as the degree of adhesion between the ultrasound probe and the surface of the skin of the human body, the contact pressure between the ultrasound probe and the surface of the skin of the human body, the scanning speed of the ultrasound probe, and the like, so that the ultrasound image obtained by scanning with the ultrasound scanning device is an effective ultrasound image. It can be understood that when the ultrasound scanning apparatus acquires a valid ultrasound image, the current ultrasound scanning is continued to acquire a corresponding ultrasound image.
The ultrasonic image quality evaluation method provided by the embodiment of the invention can be used for carrying out real-time quality evaluation on the ultrasonic image acquired by the ultrasonic scanning equipment, so that an invalid ultrasonic image is avoided, and the screening error rate is reduced. When an invalid ultrasonic image appears, the fitting degree of the ultrasonic probe and the surface of the skin of the human body can be judged in real time, and then the fitting track of the ultrasonic probe is adjusted in real time by combining the fed-back definition of the current ultrasonic image, so that the purpose of improving the imaging quality of the ultrasonic image is achieved. Similarly, when an invalid ultrasonic image appears, the contact pressure between the ultrasonic probe and the surface of the skin of the human body can be judged in real time, and the contact pressure is adjusted in real time by combining the fed-back definition of the current ultrasonic image, so that the purpose of improving the imaging quality of the ultrasonic image is achieved. In addition, when an invalid ultrasonic image appears, the scanning speed of the ultrasonic probe can be judged in real time, and then the scanning speed of the ultrasonic probe is adjusted in real time by combining the fed-back definition of the current ultrasonic image, so that the aim of improving the imaging quality of the ultrasonic image is fulfilled.
Based on the ultrasound image quality evaluation method proposed in the foregoing, referring to fig. 1, the present invention also proposes an ultrasound image quality evaluation apparatus, which includes:
an image obtaining module 10, configured to obtain a current image and a reference image, where the current image is a currently acquired ultrasound image;
the quality evaluation module 20 is configured to calculate a peak signal-to-noise ratio and a structural similarity between the current image and the reference image, and evaluate the imaging quality of the current image according to a calculation result of the peak signal-to-noise ratio and the structural similarity;
the first confirming module 30 is configured to confirm the current image as an effective ultrasound image when the calculated values of the peak signal-to-noise ratio and the structural similarity are greater than preset values;
and the second confirming module 40 is configured to confirm the current image as an invalid ultrasound image when the calculated value of the peak signal-to-noise ratio or the structural similarity is smaller than a preset value.
In one embodiment, the peak snr proposed by the embodiments of the present invention is calculated according to the following formula:
Figure BDA0002603931200000081
Figure BDA0002603931200000082
wherein MSE is mean square error, PSNR is peak signal-to-noise ratio, I (I, j) is reference image, K (I, j) is current image, mn is pixel size of the reference image and the current image,
Figure BDA0002603931200000083
is the maximum pixel value of the reference image.
In another embodiment, the structural similarity provided by the embodiment of the present invention is calculated according to the following formula:
SSIM(X，Y)＝[l(X，Y]α[c(X，Y)]β[s(X，Y)]γ
Figure BDA0002603931200000084
Figure BDA0002603931200000085
wherein SSIM (X, Y) is the structural similarity, l (X, Y) is the brightness comparison function, c (X, Y) is the contrast comparison function, s (X, Y) is the structural comparison function, ux、σx、σxyThe mean value of the reference image X, the standard deviation of the reference image X and the variance u of the reference image X and the current image Yy、σyMean and standard deviation, c, respectively, of the current image Y1、c2、c3Is a normal number.
In another embodiment, the ultrasound image quality assessment apparatus provided in the embodiment of the present invention further includes:
the first control module 50 is used for continuing the ultrasonic scanning when the current image is a valid ultrasonic image;
and the second control module 60 is configured to stop the ultrasound scanning or perform the ultrasound scanning again after adjusting scanning parameters when the current image is an invalid ultrasound image.
Based on the ultrasound image quality evaluation method, the invention also provides ultrasound scanning equipment, which comprises:
a memory for storing a computer program;
a processor, configured to implement the ultrasound image quality assessment method according to the foregoing embodiments when executing a computer program, where the ultrasound image quality assessment method at least includes the following steps:
step S10, acquiring a current image and a reference image, wherein the current image is a currently acquired ultrasonic image;
step S20, calculating the peak signal-to-noise ratio and the structural similarity of the current image and the reference image, and evaluating the imaging quality of the current image according to the calculation results of the peak signal-to-noise ratio and the structural similarity;
step S30, if the calculated value of the peak signal-to-noise ratio and the structural similarity is larger than a preset value, determining the current image as an effective ultrasonic image;
in step S40, if the calculated value of the peak signal-to-noise ratio or the structural similarity is smaller than the preset value, the current image is determined to be an invalid ultrasound image.
Based on the ultrasound image quality assessment method proposed above, the present invention also proposes a storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the ultrasound image quality assessment method described in the foregoing embodiments is implemented, where the ultrasound image quality assessment method at least includes the following steps:
step S10, acquiring a current image and a reference image, wherein the current image is a currently acquired ultrasonic image;
step S20, calculating the peak signal-to-noise ratio and the structural similarity of the current image and the reference image, and evaluating the imaging quality of the current image according to the calculation results of the peak signal-to-noise ratio and the structural similarity;
step S30, if the calculated value of the peak signal-to-noise ratio and the structural similarity is larger than a preset value, determining the current image as an effective ultrasonic image;
in step S40, if the calculated value of the peak signal-to-noise ratio or the structural similarity is smaller than the preset value, the current image is determined to be an invalid ultrasound image.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical division, and other divisions may be realized in practice, for example, a plurality of modules or components may be combined or integrated into another apparatus, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a part of or preferred embodiments of the present invention, and neither the text nor the drawings should be construed as limiting the scope of the present invention, and all equivalent structural changes, which are made by using the contents of the present specification and the drawings, or any other related technical fields, are included in the scope of the present invention.

Claims (10)

1. An ultrasound image quality evaluation method, comprising:
acquiring a current image and a reference image, wherein the current image is a currently acquired ultrasonic image;
calculating the peak signal-to-noise ratio and the structural similarity of the current image and the reference image, and evaluating the imaging quality of the current image according to the calculation results of the peak signal-to-noise ratio and the structural similarity;
if the calculated values of the peak signal-to-noise ratio and the structural similarity are larger than preset values, confirming the current image as an effective ultrasonic image;
and if the calculated value of the peak signal-to-noise ratio or the structural similarity is smaller than a preset value, determining the current image as an invalid ultrasonic image.
2. The method for ultrasound image quality assessment according to claim 1, wherein the peak signal-to-noise ratio is calculated according to the following formula:
Figure FDA0002603931190000011
Figure FDA0002603931190000012
wherein the MSE is a mean square error, the PSNR is a peak signal-to-noise ratio, I (I, j) is a reference image, K (I, j) is a current image, mn is pixel sizes of the reference image and the current image, and the MSE is a mean square error, the PSNR is a peak signal-to-noise ratio, the I (I, j) is a reference image, the K (I, j) is a current
Figure FDA0002603931190000013
Is the maximum pixel value of the reference image.
3. The ultrasound image quality assessment method according to claim 1, wherein the structural similarity is calculated according to the following formula:
SSIM(X，Y)＝[l(X，Y)]α[c(X，Y)]β[s(X，Y)]γ
Figure FDA0002603931190000014
Figure FDA0002603931190000015
Figure FDA0002603931190000016
wherein the SSIM (X, Y) is a structural similarity, the l (X, Y) is a brightness comparison function, the c (X, Y) is a contrast comparison function, the s (X, Y) is a structural comparison function, and the u is a color valuex、σx、σxyThe mean value of the reference image X, the standard deviation of the reference image X and the variance of the reference image X and the current image Y are respectivelyy、σyRespectively mean and standard deviation of the current image Y, c1、c2、c3Is a normal number.
4. The method for ultrasound image quality assessment according to any one of claims 1-3, further comprising:
if the current image is an effective ultrasonic image, continuing ultrasonic scanning;
and if the current image is an invalid ultrasonic image, stopping ultrasonic scanning or adjusting scanning parameters and then carrying out ultrasonic scanning again.
5. An ultrasound image quality evaluation apparatus, comprising:
the image acquisition module is used for acquiring a current image and a reference image, wherein the current image is a currently acquired ultrasonic image;
the quality evaluation module is used for calculating the peak signal-to-noise ratio and the structural similarity of the current image and the reference image and evaluating the imaging quality of the current image according to the calculation results of the peak signal-to-noise ratio and the structural similarity;
the first confirming module is used for confirming the current image as an effective ultrasonic image when the calculated value of the peak signal-to-noise ratio and the structural similarity is larger than a preset value;
and the second confirming module is used for confirming the current image as an invalid ultrasonic image when the calculated value of the peak signal-to-noise ratio or the structural similarity is smaller than a preset value.
6. The ultrasound image quality assessment apparatus according to claim 5, wherein said peak signal-to-noise ratio is calculated according to the following formula:
Figure FDA0002603931190000021
Figure FDA0002603931190000022
wherein the MSE is a mean square error, the PSNR is a peak signal-to-noise ratio, I (I, j) is a reference image, K (I, j) is a current image, mn is pixel sizes of the reference image and the current image, and the MSE is a mean square error, the PSNR is a peak signal-to-noise ratio, the I (I, j) is a reference image, the K (I, j) is a current
Figure FDA0002603931190000023
Is the maximum pixel value of the reference image.
7. The ultrasound image quality assessment apparatus according to claim 5, wherein the structural similarity is calculated according to the following formula:
SSIM(X，Y)＝[l(X，Y)]α[c(X，Y)]β[s(X，Y)]γ
Figure FDA0002603931190000031
Figure FDA0002603931190000032
Figure FDA0002603931190000033
wherein the SSIM (X, Y) is a structural similarity, the l (X, Y) is a brightness comparison function, the c (X, Y) is a contrast comparison function, the s (X, Y) is a structural comparison function, and the u is a color valuex、σx、σxyThe mean value of the reference image X, the standard deviation of the reference image X and the variance of the reference image X and the current image Y are respectivelyy、σyRespectively mean and standard deviation of the current image Y, c1、c2、c3Is a normal number.
8. The ultrasound image quality assessment apparatus according to any one of claims 5 to 7, further comprising:
the first control module is used for continuing ultrasonic scanning when the current image is a valid ultrasonic image;
and the second control module is used for stopping ultrasonic scanning or adjusting scanning parameters and then carrying out ultrasonic scanning again when the current image is an invalid ultrasonic image.
9. An ultrasound scanning apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the ultrasound image quality assessment method of any one of claims 1-4 when executing the computer program.
10. A storage medium storing a computer program which, when executed by a processor, implements the ultrasound image quality assessment method according to any one of claims 1 to 4.
CN202010733088.3A 2020-07-27 2020-07-27 Ultrasonic image quality evaluation method and device, ultrasonic scanning equipment and storage medium Pending CN112085697A (en)

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