Ultrasound image processing device and method and computer readable storage medium

Abstract

An ultrasonic image processing device (100), a heart motion quantitative analysis method. The ultrasonic image processing device (100) comprises a display (10) and a processor (20). The processor (20) is used for performing the following steps: acquiring an ultrasonic image (S701), the ultrasonic image comprising any one of an ultrasonic image and an ultrasonic video; tracking motion of at least one region of interest in a heart according to the ultrasonic image by a speckle tracking technique to obtain tracking results of the at least one region of interest (S702); determining tracking quality of the tracking results of the at least one region of interest (S703); after tracking is completed, controlling the display (10) to display the tracking quality of the at least one region of interest (S704), the tracking quality being a confidence degree of the tracking results of the corresponding region of interest, indicating a degree of credibility of the tracking results of the corresponding region of interest. The ultrasonic image processing device (100) and the method can objectively reflect the degree of credibility of the tracking results.

Description

Technical Field

[0001] This invention relates to a device, and more particularly to an ultrasonic image processing device and a method for performing ultrasonic image processing using the ultrasonic image processing device. Background Technology

[0002] Currently, ultrasound imaging technology is widely used in the medical field, including the diagnosis of cardiovascular diseases. With the continuous development of cardiovascular medicine, an important branch of clinical medicine, methods for diagnosing cardiovascular diseases, both non-invasive and invasive, are constantly emerging, evolving, and improving. Echocardiography was developed in the 1950s as a method for diagnosing cardiovascular diseases. Ultrasound imaging technology is a non-invasive imaging technique, simple to operate, and highly repeatable. It can not only display anatomical images of the heart and major blood vessels but also observe their physiological activities in real time, providing valuable diagnostic data. Therefore, it has received much attention from clinicians and has been continuously promoted and applied. Over the past 50 years, echocardiography technology has developed very rapidly, from M-mode echocardiography to two-dimensional echocardiography, transesophageal echocardiography, and so on. In addition, techniques for quantitative analysis of cardiac motion have emerged, including TDI (Trans Doppler Echocardiography) and speckle tracking based on ultrasound images; however, both of these techniques currently have their own limitations.

[0003] Firstly, Doppler echocardiography utilizes the Doppler frequency shift principle of ultrasound waves to detect the velocity of tissues moving along the sound beam, providing an effective means for cardiac motion analysis. However, due to the limitations of the Doppler principle, Doppler echocardiography cannot accurately obtain two-dimensional velocity information of the heart within the imaging plane, thus restricting its application to some extent.

[0004] Secondly, speckle tracking technology based on ultrasound images tracks the movement of myocardial tissue by tracking the speckles formed on the ultrasound image by tracking the echo signals of the heart tissue. This technology can obtain the two-dimensional movement of the heart tissue in the imaging plane and can be applied to various cardiac view sections.

[0005] However, the accuracy of quantitative analysis of cardiac motion based on speckle tracking technology is directly affected by the accuracy of tracking. For two-dimensional echocardiography, imaging conditions such as the acoustic window can sometimes lead to local signal defects, and noise and artifacts can severely impact the tracking algorithm, resulting in inaccurate local tracking. The analytical parameters obtained under such circumstances are naturally unreliable. Therefore, a direct and comprehensive assessment of tracking quality, i.e., the confidence level of the analytical parameters, plays a crucial role in the quantitative analysis system and significantly influences the application of this technology in clinical and research fields.

[0006] Therefore, while existing ultrasound imaging technology can qualitatively determine whether local tracking is effective or ineffective, it can only provide these two qualitative results. Furthermore, the rules and thresholds for determining effectiveness or ineffectiveness are difficult for users to control and understand why something is effective or ineffective. Moreover, it is only visible during the current analysis and cannot easily establish macroscopic connections, such as the affected areas in the complete heart structure and the corresponding coronary artery conditions. The presentation method is not intuitive enough, making it difficult for users to truly benefit from it. Summary of the Invention

[0007] This invention provides an ultrasound image processing device and a method for quantitative analysis of cardiac motion, which can indicate the quantitative confidence level of tracking results and provide a more objective evaluation of the tracking results.

[0008] In one embodiment, an ultrasound image processing device is provided, characterized in that the ultrasound image processing includes: a display; and a processor, configured to perform the following steps: acquiring an ultrasound image, the ultrasound image including either an ultrasound image or an ultrasound video; performing motion tracking on at least one region of interest based on the ultrasound image to obtain a tracking result for the at least one region of interest; determining the tracking quality of the tracking result for the at least one region of interest; and controlling the display to display the tracking quality of the at least one region of interest, wherein the tracking quality is the confidence level of the tracking result for the corresponding region of interest, indicating the degree of reliability of the tracking result for the corresponding region of interest.

[0009] In one embodiment, the step of "determining the tracking quality of the tracking result of the at least one region of interest" includes: determining the tracking quality of each of the multiple local sub-regions pre-divided according to the region of interest.

[0010] In one embodiment, the step of "controlling the display to display the tracking quality of the at least one region of interest" includes: generating a tracking quality indication for the local sub-regions based on the tracking quality of the local sub-regions of the region of interest; arranging the tracking quality indications of the multiple local sub-regions of the region of interest in a color-coded form to form the anatomical shape of the region of interest, combining the anatomical structure of the region of interest and the pre-divided multiple local sub-regions; wherein each tracking quality indication of a local sub-region corresponds to a color-coded block; and controlling the display to display the tracking quality indications arranged to form the anatomical shape of the region of interest.

[0011] In one embodiment, the step of "controlling the display to show the tracking quality of the at least one region of interest" further includes: controlling the display to show a quality standard reference indication; the quality standard reference indication provides a means to determine the tracking quality indicated by the tracking quality indication.

[0012] In one embodiment, the ultrasound image processing device further includes an input unit, and the processor is further configured to discard the analysis results of the discarded local sub-regions in response to a user inputting a rejection action for one or more local sub-regions through the input unit.

[0013] In one embodiment, the processor is further configured to perform the following steps: control the display to generate a prompt message to the user asking whether to accept the tracking results; if the user selects "yes", control the display to show the analysis results.

[0014] In one embodiment, the anatomical shape formed by arranging the tracking quality indicators of the plurality of local sub-regions is a cardiac segment diagram shape and / or a bullseye diagram shape.

[0015] In one embodiment, the processor is further configured to perform the following steps: in response to a user-selected local subregion of a target region of interest, highlighting the portion of the anatomical shape corresponding to the selected local subregion.

[0016] In one embodiment, the tracking results include at least quantitative parameters of myocardial motion.

[0017] In one embodiment, the ultrasound image processing device further includes a memory, and the processor is configured to retrieve pre-acquired and stored ultrasound images from the memory.

[0018] In one embodiment, the ultrasound image processing device further includes an ultrasound image acquisition device for acquiring ultrasound images, and the processor for obtaining the ultrasound images acquired by the ultrasound image acquisition device to obtain the ultrasound images.

[0019] In one embodiment, the ultrasound image acquisition device includes: a probe; a transmitting circuit for exciting the probe to emit ultrasound waves toward the region of interest; and a receiving circuit for receiving the echo of the ultrasound waves to obtain an echo signal; wherein the processor processes the echo signal to obtain the ultrasound image.

[0020] In one embodiment, the at least one region of interest includes at least one of the endocardium, the myocardial media, and the epicardium.

[0021] In one embodiment, an ultrasound image processing method is provided, characterized in that the method includes: acquiring an ultrasound image, the ultrasound image including either an ultrasound image or an ultrasound video; performing motion tracking on at least one region of interest based on the ultrasound image to obtain a tracking result for the at least one region of interest; determining the tracking quality of the tracking result for the at least one region of interest; and displaying the tracking quality of the at least one region of interest, wherein the tracking quality is the confidence level of the tracking result for the corresponding region of interest, indicating the degree of credibility of the tracking result for the corresponding region of interest.

[0022] In one embodiment, the step of "determining the tracking quality of the tracking result of the at least one region of interest" includes: determining the tracking quality of each of the multiple local sub-regions pre-divided according to the region of interest.

[0023] In one embodiment, the step of "displaying the tracking quality of the at least one region of interest" includes: generating tracking quality indicators for the local sub-regions based on the tracking quality of the local sub-regions of the region of interest; arranging the tracking quality indicators of the multiple local sub-regions of the region of interest in a color-coded form to the anatomical shape of the region of interest, combining the anatomical structure of the region of interest and the pre-divided multiple local sub-regions; wherein each tracking quality indicator of a local sub-region corresponds to a color-coded block; and displaying the tracking quality indicators arranged to the anatomical shape of the region of interest.

[0024] In one embodiment, the step of “displaying the tracking quality of the at least one region of interest” further includes: displaying a quality standard reference indication, wherein the quality standard reference indication provides for determining the tracking quality indicated by the tracking quality indication.

[0025] In one embodiment, the method further includes the step of: in response to a user's action to remove a certain local sub-region, discarding the analysis results of the removed local sub-region.

[0026] In one embodiment, the method further includes the steps of: generating a prompt message to the user whether to accept the tracking results; if the user selects "yes", then displaying the analysis results.

[0027] In one embodiment, the anatomical shape formed by arranging the tracking quality indicators of the plurality of local sub-regions is a cardiac segment diagram shape and / or a bullseye diagram shape.

[0028] In one embodiment, the method further includes the step of: highlighting the portion of the anatomical shape corresponding to the selected local sub-region in response to a local sub-region of a target region of interest selected by the user.

[0029] In one embodiment, the tracking results include at least quantitative parameters of myocardial motion.

[0030] In one embodiment, the step "acquiring ultrasound images" includes: acquiring ultrasound images in real time using an ultrasound image acquisition device, or acquiring pre-acquired and stored ultrasound images from a memory or other device.

[0031] In one embodiment, the at least one region of interest includes at least one of the endocardium, the myocardial media, and the epicardium.

[0032] In one embodiment, a computer-readable storage medium is provided that stores a plurality of program instructions, wherein the plurality of program instructions are used to execute any of the methods described above when invoked by a processor.

[0033] The ultrasound image processing device, the method for quantitative analysis of cardiac motion, and the computer-readable storage medium disclosed in this invention provide a quantitative confidence level to indicate whether the tracking results are reliable. This allows users to more accurately judge whether the tracking results are qualified or unqualified based on other factors. Furthermore, the tracking quality can be vividly displayed based on anatomical structures, making the display more intuitive. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a structural block diagram of an ultrasound image processing device according to an embodiment of the present invention.

[0036] Figure 2 This is a schematic diagram of the structure of the ultrasonic image acquisition device in an ultrasonic image processing device according to an embodiment of the present invention.

[0037] Figure 3 This is a schematic diagram of the tracking and determination interface in one embodiment of the present invention.

[0038] Figure 4 This is a schematic diagram of the analysis results interface in one embodiment of the present invention.

[0039] Figure 5 This is a schematic diagram of a bullseye diagram display interface according to an embodiment of the present invention.

[0040] Figure 6 This is a schematic diagram of a health notification interface according to an embodiment of the present invention.

[0041] Figure 7This is a flowchart of a method for quantitative analysis of cardiac motion in one embodiment of the present invention.

[0042] Figure 8 for Figure 7 Step S703 in one embodiment is a sub-flowchart. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] Please see Figure 1 This is a structural block diagram of an ultrasound image processing device 100 according to an embodiment of the present invention. The ultrasound image processing device 100 includes a display 10 and a processor 20. The processor 20 is used to acquire ultrasound images, which include either ultrasound images or ultrasound videos. The ultrasound images are obtained after performing an ultrasound scan on at least one region of interest.

[0045] The aforementioned processor 20 is also used to obtain the tracking result of the aforementioned at least one region of interest in the heart by performing motion tracking on the aforementioned ultrasound image using speckle tracking technology; and to determine the tracking quality of the tracking result of the aforementioned at least one region of interest.

[0046] The aforementioned processor 20 is also configured to, after tracking is completed, control the aforementioned display 10 to display the tracking quality of the aforementioned at least one region of interest, wherein the aforementioned tracking quality is the confidence level of the tracking result of the corresponding region of interest, indicating the degree of credibility of the tracking result of the aforementioned corresponding region of interest.

[0047] That is, the aforementioned tracking quality indicates the quantitative reliability of the tracking results, such as a reliability of 80%.

[0048] Therefore, in this application, the confidence level of the tracking result is used to reflect the quality of the tracking result, rather than a simple judgment result of whether it is qualified or unqualified. This allows users to more accurately judge whether the tracking result is qualified or unqualified based on other factors.

[0049] like Figure 1As shown, the aforementioned ultrasound image processing device 100 also includes an ultrasound image acquisition device 30, which is used to acquire ultrasound images. The aforementioned processor 20 is connected to the aforementioned ultrasound image acquisition device 30. In some embodiments, the ultrasound images acquired by the aforementioned processor 20 are the ultrasound images acquired by the aforementioned ultrasound image acquisition device 30.

[0050] Please refer to the following: Figure 2 This is a schematic diagram of the structure of the ultrasound image acquisition device 30. Figure 2 As shown, the aforementioned ultrasound image acquisition device 30 includes a probe 31, a transmitting circuit 32, and a receiving circuit 33. The transmitting circuit 32 is used to excite the probe 31 to emit ultrasound waves toward at least one region of interest in the heart. The receiving circuit 33 is used to receive the echo of the ultrasound waves and obtain an echo signal. This echo signal can be sent to the processor 20, which can process the echo signal to obtain the aforementioned ultrasound image.

[0051] like Figure 1 As shown, the aforementioned ultrasound image processing device 100 also includes a memory 40, which stores the aforementioned ultrasound images. The aforementioned processor 20 is also connected to the aforementioned memory 40. In some embodiments, the aforementioned processor 20 retrieves the aforementioned ultrasound images from the aforementioned memory 40. Obviously, in other embodiments, the aforementioned processor 20 can also be connected to other devices to retrieve the aforementioned ultrasound images from those devices. For example, the aforementioned processor 20 can also communicate with a server to download the required ultrasound images from the server.

[0052] The processor 20 determines the tracking quality of the tracking result of the at least one region of interest by: the processor 20 determining the tracking quality of each local sub-region of each region of interest according to a plurality of local sub-regions pre-divided for each region of interest.

[0053] Please refer to the following: Figure 3This is a schematic diagram of a tracking quality determination interface J1. The tracking quality of the aforementioned at least one region of interest includes a tracking quality indicator G1 for each local sub-region and a quality standard reference indicator S1. After tracking is completed, the processor 20 controls the display 10 to display the tracking quality of the aforementioned at least one region of interest, including: the processor 20 generating a tracking quality indicator G1 for each local sub-region based on the tracking quality of each local sub-region of each region of interest; combining the cardiac anatomy of each region of interest and the aforementioned pre-divided multiple local sub-regions, arranging the tracking quality indicators G1 of the aforementioned multiple local sub-regions of each region of interest in a color-coded form to form the anatomical shape of the region of interest; wherein each local sub-region tracking quality indicator G1 corresponds to a color-coded block K1; the processor 20 controls the display 10 to display the tracking quality indicators G1 arranged to form the anatomical shape of the region of interest; and controls the display 10 to display the aforementioned quality standard reference indicator S1; the aforementioned quality standard reference indicator S1 provides information for determining the tracking quality indicated by the aforementioned tracking quality indicators.

[0054] In one embodiment, the anatomical shape formed by arranging the tracking quality indicators of multiple local sub-regions can be a cardiac segment diagram shape (e.g., Figure 3 , Figure 4 or Figure 6 (as shown) and / or bullseye shape (such as...) Figure 5 (As shown).

[0055] like Figure 3 As shown, more specifically, after tracking is completed, the processor 20 controls the display 10 to display the tracking quality of the at least one region of interest, including: after tracking is completed, controlling the display 10 to display the tracking determination interface J1, wherein the tracking determination interface J1 includes an ultrasound image playback area Z1 and a tracking quality display area Z2; controlling the display of the ultrasound image in the ultrasound image playback area Z1 of the tracking determination interface J1; and controlling the display of the tracking quality Q1 of the at least one region of interest in the tracking quality display area Z2 of the tracking determination interface J1.

[0056] Figure 3 The illustrated tracking judgment interface J1 displays the tracking quality of a region of interest. The aforementioned ultrasound image playback area Z1 is located in the middle of the aforementioned tracking judgment interface J1, and the aforementioned tracking quality display area Z2 is located in the lower right corner of the aforementioned tracking judgment interface J1.

[0057] The processor 20 further controls the addition of a corresponding marker B1 to the ultrasound image displayed in the ultrasound image playback area Z1 based on the location and shape of the selected region of interest. For example, the marker B1 is as follows: Figure 3 The multiple white dots shown are arranged in an arc shape, and the distribution of these dots indicates the location and shape of the region of interest.

[0058] The aforementioned tracking quality Q1 includes a tracking quality indicator G1 for multiple local sub-regions arranged in color-coded form to resemble the anatomical shape of the aforementioned region of interest, and a aforementioned quality standard reference indicator S1. Each local sub-region is associated with a corresponding tracking quality indicator G1 and a color-coded block K1.

[0059] like Figure 3 As shown, in some embodiments, the tracking quality indicator G1 for each local sub-region is a contour line surrounding the corresponding color-coded block K1. This contour line has a specific color, and the intensity of the color varies when the local sub-regions have different tracking qualities. The aforementioned quality standard reference indicator S1 displays the same color as the contour line, with the color intensities arranged sequentially and corresponding to different confidence levels. For example, as... Figure 3 As shown, the aforementioned quality standard reference indicator S1, with its color changes from light to dark, corresponds to confidence levels of 0-100. However, due to the drawing requirements of the application documents, the colors and shades cannot be displayed more accurately; the accompanying drawings are for reference only, and the description in the specification shall prevail.

[0060] The aforementioned processor 20 displays an outline with corresponding shades of color around the corresponding color-coded block K1 based on the tracking quality of each determined local sub-region.

[0061] Therefore, users can determine the tracking quality, or confidence level, of the local sub-region corresponding to the color-coded block K1 by comparing the color intensity of its outline with the aforementioned quality standard reference indicator S1. For example, if the color intensity of the outline of a certain color-coded block K1 is the same as the intensity at position 80 of the quality standard reference indicator S1, then the confidence level of the local sub-region corresponding to the aforementioned color-coded block K1 can be determined to be 80%. That is, the tracking result of the corresponding local sub-region is 80% reliable.

[0062] In addition, each color-coded block K1 has a different color to distinguish different local sub-regions.

[0063] In other embodiments, the aforementioned tracking quality indicator G1 may be a texture pattern filling the aforementioned color-coded block K1. The aforementioned quality standard reference indicator S1 includes several texture patterns, and different texture patterns correspond to different confidence levels.

[0064] The aforementioned processor 20 displays the corresponding texture pattern in the corresponding color coding block K1 based on the tracking quality of each determined local sub-region.

[0065] Therefore, the user can determine the tracking quality, i.e. the confidence level, of the local sub-region corresponding to the aforementioned color-coded block K1 by referring to the aforementioned quality standard reference instruction S1 based on the texture pattern in the color-coded block K1.

[0066] In other embodiments, the aforementioned tracking quality indicator G1 may be the intensity of the color of the aforementioned color-coded block K1. The aforementioned quality standard reference indicator S1 includes the relationship between the intensity of the color of each color-coded block K1 and the confidence level.

[0067] The processor 20 adjusts the color intensity of the corresponding color-coded block K1 according to the determined tracking quality of each local sub-region. Thus, the user can determine the tracking quality of the local sub-region corresponding to the color-coded block K1 by referring to the aforementioned quality standard reference instruction S1 based on the color intensity of the color-coded block K1.

[0068] in, Figure 3 The ultrasound image displayed in the ultrasound image playback area Z1 in the tracking judgment interface J1 is related to the tracking quality Q1 displayed in the tracking quality display area Z2. As the ultrasound image changes, the tracking quality Q1 changes accordingly, so that the displayed tracking quality Q1 is the tracking quality Q1 of the region of interest corresponding to the current ultrasound image.

[0069] like Figure 1 As shown, the aforementioned ultrasound image processing device also includes an input unit 50, and the aforementioned processor 20 is further configured to respond to a user's input through the input unit 50 to perform a removal action on one or more local sub-regions, and discard the analysis results of the aforementioned local sub-regions.

[0070] In some embodiments, the aforementioned processor 20 is further configured to control the display 10 to generate a prompt message to the user to indicate whether to accept the tracking results; if the user selects "yes", then control the display 10 to display all analysis results.

[0071] Specifically, the processor 20 controls the display of all analysis results on the display 10, including controlling the simultaneous or alternating display of an analysis result interface and a bullseye chart display interface on the display 10.

[0072] Please refer to the following: Figure 4 This is a schematic diagram of the analysis results interface J2. Figure 4As shown, the aforementioned analysis result interface J2 includes an ultrasound image playback area Z21, an analysis curve display area Z23, and a tracking quality display area Z22. The aforementioned analysis curve display area Z23 is used to display the tracking result curve X1 of each local sub-region of the aforementioned at least one region of interest. The ultrasound image playback area Z21 of the aforementioned analysis result interface is used to display ultrasound images. The tracking quality display area Z22 of the aforementioned analysis result interface J2 is used to display the tracking quality of the aforementioned at least one region of interest.

[0073] compared to Figure 3 After the user selects to accept the analysis results, the analysis results interface J2 will additionally display the tracking result curve X1 for each of the aforementioned local sub-regions.

[0074] The aforementioned analysis curve display area Z23 can be located in the lower left corner of the aforementioned analysis result interface J2.

[0075] The ultrasound image playback area Z21 and tracking quality display area Z23 in the aforementioned analysis result interface J2 are the same as the ultrasound image playback area Z1 and tracking quality display area Z2 in the aforementioned tracking determination interface J1. For details, please refer to the relevant descriptions of the ultrasound image playback area Z1 and tracking quality display area Z2 in the aforementioned tracking determination interface J1. They will not be repeated here.

[0076] Similarly, Figure 4 The ultrasound image displayed in the ultrasound image playback area Z21 of the analysis results interface J2 is correlated in real time with the tracking quality Q1 displayed in the tracking quality display area Z22 and the tracking result curve X1 displayed in the analysis curve display area Z23. As the displayed ultrasound image changes, the aforementioned tracking quality Q1 and tracking result curve X1 change accordingly, so that the displayed tracking quality Q1 and tracking result curve X1 are the tracking quality Q1 and tracking result curve X1 of the region of interest corresponding to the current ultrasound image.

[0077] Please refer to the following: Figure 5 This is a schematic diagram of the aforementioned bullseye chart display interface J3. The aforementioned bullseye chart display interface J3 includes a tracking result bullseye chart display area Z31, a tracking quality bullseye chart display area Z32, and a tracking time bullseye chart display area Z33. The aforementioned tracking result bullseye chart display area Z31 is used to display a tracking result bullseye chart T1 for at least one region of interest. The aforementioned tracking quality bullseye chart display area Z32 is used to display a tracking quality bullseye chart T2 for at least one region of interest. The aforementioned tracking quality bullseye chart display area Z32 is used to display a tracking time bullseye chart T3 for at least one region of interest.

[0078] Among them, the tracking result bullseye chart T1, the tracking quality bullseye chart T2, and the tracking time bullseye chart T2 corresponding to at least one region of interest are displayed simultaneously or alternately.

[0079] Among them, each tracking result bullseye chart T1 is composed of the peak value of the tracking result of at least one local sub-region of the cross section of the corresponding region of interest in multiple directions by the aforementioned processor 20; each tracking quality bullseye chart T2 is composed of the tracking quality of the peak value of the tracking result of at least one local sub-region of the cross section of the corresponding region of interest in multiple directions by the aforementioned processor 20; and each tracking time bullseye chart T3 is composed of the time of the tracking result of at least one local sub-region of the cross section of the corresponding region of interest in multiple directions by the aforementioned processor 20 reaching the peak value.

[0080] For example, such as Figure 5 As shown, the aforementioned tracking result bullseye diagram T1 includes a circular bullseye diagram composed of result data block K2 formed by arranging the peak values ​​of tracking results of multiple local sub-regions of the cross section in the first direction along the first preset direction D1, result data block K2 formed by arranging the peak values ​​of tracking results of multiple local sub-regions of the cross section in the second direction along the second preset direction D2, and result data block K2 formed by arranging the peak values ​​of tracking results of multiple local sub-regions of the cross section in the third direction along the third preset direction D3.

[0081] The aforementioned tracking quality bullseye chart T1 includes a quality data block K3 formed by arranging the tracking quality of the peak tracking results of multiple local sub-regions of the cross section in the first direction along a first preset direction, a data block K3 formed by arranging the tracking quality of the peak tracking results of multiple local sub-regions of the cross section in the second direction along a second preset direction, and a circular bullseye chart K3 composed of a data block formed by arranging the tracking quality of the peak tracking results of multiple local sub-regions of the cross section in the third direction along a third preset direction.

[0082] The aforementioned tracking time bullseye chart T1 includes a circular bullseye chart K3 composed of time data blocks K4 formed by arranging the time points when the tracking results of multiple local sub-regions of the cross section in the first direction reach their peak along a first preset direction, time data blocks K4 formed by arranging the time points when the tracking results of multiple local sub-regions of the cross section in the second direction reach their peak along a second preset direction, and time data blocks K4 formed by arranging the time points when the tracking results of multiple local sub-regions of the cross section in the third direction reach their peak along a first preset direction.

[0083] Therefore, by using the bullseye chart, the peak value of the tracking results in local sub-regions of the cross-section in multiple directions, the quality of the peak value of the tracking results, and the time point when the tracking results reach the peak value can be displayed intuitively at the same time.

[0084] The aforementioned processor 20 is also used to respond to a local sub-region of the target region of interest selected by the user, and to highlight the part of the local sub-region corresponding to the target region of interest in the bullseye image of the target region of interest.

[0085] For example, if a user wants to focus on a specific sub-region of a region of interest, they can select the sub-region of interest. The processor 20 can then control the data blocks corresponding to the sub-region in the aforementioned tracking result bullseye chart T1, tracking quality bullseye chart T2, and tracking time bullseye chart T3 to be highlighted. For example, they can be highlighted or displayed in different colors.

[0086] The aforementioned region of interest includes at least one of the endocardium, myocardial media, and epicardium. The aforementioned pre-defined local sub-regions are either regions divided according to the functional organization of the aforementioned region of interest or custom regions selected by the user.

[0087] When the aforementioned region of interest is the middle layer of the myocardium, the aforementioned pre-divided local sub-regions are the various myocardial segments of the middle layer of the myocardium as defined by industry standards.

[0088] In some embodiments, the aforementioned at least one region of interest includes the myocardial mesolayer, which includes multiple myocardial segments. At least one myocardial segment corresponds to the perfusion region of a coronary artery branch. The processor 20 is further configured to highlight the parts corresponding to one or more myocardial segments in the tracking result bullseye chart T1, tracking quality bullseye chart T2, and tracking time bullseye chart T3 corresponding to the myocardial mesolayer, either by user selection or automatically. The aforementioned one or more myocardial segments correspond to the perfusion regions of one or more specified coronary artery branches.

[0089] Please refer to the following: Figure 6 This is a schematic diagram of a health alert interface J4 displayed when the region of interest is the mid-myocardium. In some embodiments, the processor 20 is further configured to provide the aforementioned health alert interface J4. For example, the processor 20 provides the aforementioned health alert interface J4 when the user selects the mid-myocardium as the region of interest and discovers health problems in the coronary artery branches reflected by the myocardial segments in the mid-myocardium.

[0090] The aforementioned health prompt interface J4 includes a simulated heart icon 61, several physical simulated indicator icons 62, several simplified indicator icons 63, and several reference icons 64.

[0091] The aforementioned simulated heart icon 61 simulates the overall structure of the heart. The aforementioned physical simulation indicator icons 62, with the same shape as the myocardial layer distribution structure of the heart, show the distribution of various myocardial segments.

[0092] The aforementioned simplified indicator icons 63 illustrate the distribution of various myocardial segments in a simplified manner. For example... Figure 6 As shown, different myocardial segments are distinguished using color-coded blocks K1 with different texture patterns.

[0093] The aforementioned reference icons 64 show the texture patterns and the corresponding coronary artery branches of myocardial segments, so that users can refer to them to determine which coronary artery branch a myocardial segment with a certain texture pattern corresponds to.

[0094] Each myocardial segment is represented by a color-coded block K1 arranged in a shape consistent with the myocardial segment. The processor 20 can control the highlighting of the color-coded block K1 corresponding to a certain myocardial segment when the tracking result of a certain myocardial segment indicates that the corresponding coronary artery perfusion area may be diseased or functionally impaired.

[0095] The tracking results of this application include at least quantitative parameters of myocardial motion.

[0096] The display 10 can be a built-in or external display of the ultrasonic image processing device 100, and can be an LCD display, OLED display, television, mobile phone with a display screen, tablet computer, etc. The processor 20 can be a central processing unit, digital signal processor, microcontroller, microprocessor, microcontroller, etc. The memory 40 can be a flash memory card, hard disk, optical disk, etc. The input unit 50 can be an input device such as a mouse, touch screen, touchpad, etc.

[0097] In this application, the confidence level of the tracking results can be objectively reflected through quantifiable tracking quality. Furthermore, the aforementioned tracking quality can be visually illustrated using anatomical structures, making the display more intuitive.

[0098] Please see Figure 7 This is a flowchart of a method for quantitative analysis of cardiac motion according to an embodiment of the present invention. Figure 7 The execution order of the steps in the flowchart can be arbitrarily changed as needed. The aforementioned quantitative analysis method for cardiac motion can be applied to the aforementioned ultrasound image processing device 100, and the hardware support for each step of the aforementioned quantitative analysis method for cardiac motion can be found in the description of the aforementioned ultrasound image processing device 100. Figure 7 As shown, the aforementioned method includes the following steps.

[0099] Acquiring ultrasound images, which include either ultrasound images or ultrasound videos (S701). Acquiring ultrasound images includes: acquiring ultrasound images in real-time using an ultrasound image processing device, or acquiring pre-acquired and stored ultrasound images from a memory or other device. The ultrasound images are obtained after performing an ultrasound scan on at least one region of interest.

[0100] Using speckle tracking technology, motion tracking of at least one region of interest in the heart is performed based on the aforementioned ultrasound images to obtain the tracking results of the aforementioned at least one region of interest (S702).

[0101] Determine the tracking quality of the tracking results for at least one region of interest (S703). Specifically, step S703 includes: determining the tracking quality of each local sub-region of each region of interest based on multiple local sub-regions pre-divided into each region of interest.

[0102] After tracking is completed, the tracking quality of at least one region of interest is displayed. The tracking quality is the confidence level of the tracking result of the corresponding region of interest, indicating the credibility of the tracking result of the corresponding region of interest (S704).

[0103] Therefore, in this application, the tracking result is determined and displayed as the confidence level of the tracking result, rather than a simple judgment of whether it is qualified or unqualified. This allows users to more accurately judge whether the tracking result is qualified or unqualified based on other factors.

[0104] like Figure 7 As shown, in some embodiments, the aforementioned method further includes the step of: in response to a user's action to remove a certain local sub-region, discarding the analysis results of the aforementioned local sub-region (S705).

[0105] like Figure 7 As shown, in some embodiments, the aforementioned method further includes the step of: generating a prompt message to prompt the user whether to accept the tracking result (S706).

[0106] If the user selects "Yes", then all analysis results are displayed (S707). If not, the process returns to step S701 or ends. In some embodiments, the aforementioned "controlling the display of all analysis results" includes: controlling the simultaneous or alternating display of an analysis results interface and a bullseye chart display interface.

[0107] The aforementioned analysis results interface includes an ultrasound image playback area, an analysis curve display area, and a tracking quality display area. The analysis curve display area is used to display the result curves for each local sub-region of the aforementioned at least one region of interest. The ultrasound image playback area of ​​the aforementioned analysis results interface is used to display ultrasound images. The tracking quality display area of ​​the aforementioned analysis results interface is used to display the tracking quality of the aforementioned at least one region of interest.

[0108] The aforementioned bullseye chart display interface includes a tracking result bullseye chart display area, a tracking quality bullseye chart display area, and a tracking time bullseye chart display area. The tracking result bullseye chart display area is used to display the tracking result bullseye chart of at least one region of interest. The tracking quality bullseye chart is used to display the tracking quality bullseye chart of at least one region of interest. The tracking time bullseye chart is used to display the tracking time bullseye chart of at least one region of interest.

[0109] In some embodiments, the bullseye chart of the tracking results, the bullseye chart of the tracking quality, and the bullseye chart of the tracking time corresponding to at least one region of interest are displayed simultaneously or alternately.

[0110] Each tracking result bullseye chart is composed of the peak values ​​of the tracking results of at least one local sub-region of the corresponding region of interest in multiple directions. Each tracking quality bullseye chart is composed of the tracking quality of the peak values ​​of the tracking results of at least one local sub-region of the corresponding region of interest in multiple directions. Each tracking time bullseye chart is composed of the time it takes for the tracking results of at least one local sub-region of the corresponding region of interest in multiple directions to reach the peak value.

[0111] For details regarding the analysis results interface, bullseye chart display interface, and bullseye charts for tracking results, tracking quality, and tracking time, please refer to the preceding descriptions; they will not be repeated here.

[0112] like Figure 7 As shown, in some embodiments, the aforementioned method further includes the step of: in response to a local sub-region of the target region of interest selected by the user, highlighting the part corresponding to the aforementioned local sub-region in the bullseye image of the aforementioned target region of interest (S708).

[0113] In some embodiments, the aforementioned at least one region of interest includes the myocardial mesolayer, which includes multiple myocardial segments, and at least one myocardial segment corresponds to a perfusion area of ​​a coronary artery branch. The aforementioned method further includes the step of: highlighting the parts corresponding to one or more myocardial segments in a bullseye diagram corresponding to the myocardial mesolayer, either by user selection or automatically, wherein the one or more myocardial segments correspond to a perfusion area of ​​one or more specified coronary artery branches.

[0114] In some embodiments, the aforementioned at least one region of interest includes at least one of the endocardium, myocardial media, and epicardium. The aforementioned pre-divided local sub-regions are regions divided according to the functional organization of the aforementioned region of interest or are custom regions selected by the user.

[0115] In some embodiments, when the aforementioned region of interest is the middle layer of the myocardium, the aforementioned pre-divided local sub-regions are various myocardial segments of the middle layer of the myocardium as defined according to industry standards.

[0116] Please see Figure 8 This is a sub-flowchart of step S703 in some embodiments. For example... Figure 8 As shown, the aforementioned step S703 includes the following steps.

[0117] Based on the tracking quality of each local sub-region of each region of interest, a tracking quality indicator for each of the aforementioned local sub-regions is generated (S7031).

[0118] Combining the cardiac anatomy of each region of interest with the aforementioned pre-divided multiple local sub-regions, the tracking quality indicators of the aforementioned multiple local sub-regions of each region of interest are arranged in the form of color coding to form the anatomical shape of the aforementioned region of interest; wherein, the tracking quality indicator of each local sub-region corresponds to a color coding block (S7033).

[0119] The control displays the tracking quality indicators (S7035) of the aforementioned anatomical shapes arranged in the aforementioned region of interest. And... The control displays a quality standard reference indication, which provides information for determining the tracking quality indicated by the aforementioned tracking quality indication (S7036).

[0120] In some embodiments, the aforementioned step S703 may further include: after tracking is completed, displaying a tracking determination interface, wherein the aforementioned tracking determination interface includes an ultrasound image playback area and a tracking quality display area; displaying the aforementioned ultrasound image in the ultrasound image playback area of ​​the aforementioned tracking determination interface; and displaying the tracking quality of the aforementioned at least one region of interest in the tracking quality display area of ​​the aforementioned tracking determination interface.

[0121] In some embodiments, this application also provides a computer-readable storage medium. The aforementioned computer-readable storage medium stores a plurality of program instructions for execution by a processor 20. The aforementioned computer-readable storage medium may be the aforementioned memory 40.

[0122] Among them, the multiple program instructions stored in the aforementioned memory 40 / computer-readable storage medium are executed by the processor 20, and can be executed. Figures 7-8 Some or all of the steps in the method shown in any of the accompanying drawings, or any combination thereof.

[0123] Therefore, by providing the confidence level of the tracking results, this application allows users to understand the reliability of the tracking results and analyze whether the tracking results are qualified or unqualified based on other factors, making it more accurate. Furthermore, this application can also display the tracking quality with corresponding shapes based on the structural shape of the region of interest, making it more intuitive.

[0124] This document describes various exemplary embodiments with reference to them. However, those skilled in the art will recognize that changes and modifications can be made to the exemplary embodiments without departing from the scope of this document. For example, various operational steps and components for performing operational steps can be implemented in different ways depending on the specific application or considering any number of cost functions associated with the operation of the system (e.g., one or more steps can be deleted, modified, or combined with other steps).

[0125] Furthermore, as those skilled in the art will understand, the principles herein can be reflected in a computer program product on a computer-readable storage medium pre-loaded with computer-readable program code. Any tangible, non-transitory computer-readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROMs, DVDs, Blu-ray discs, etc.), flash memory, and / or the like. These computer program instructions may be loaded onto a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to form a machine, such that instructions, which execute on the computer or other programmable data processing apparatus, can generate means to perform a specified function. These computer program instructions may also be stored in a computer-readable storage medium that can instruct the computer or other programmable data processing apparatus to operate in a particular manner, such that instructions stored in the computer-readable storage medium can form an article of manufacture, including means for implementing the specified function. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to perform a series of operational steps on the computer or other programmable apparatus to produce a computer-implemented process, such that instructions, which execute on the computer or other programmable apparatus, can provide steps for implementing the specified function.

[0126] While the principles herein have been illustrated in various embodiments, numerous modifications to the structure, arrangement, proportions, elements, materials, and components, particularly suited to specific environmental and operational requirements, may be used without departing from the principles and scope of this disclosure. These modifications and other alterations or alterations will be included within the scope of this document.

[0127] The foregoing specific descriptions have been described with reference to various embodiments. However, those skilled in the art will recognize that various modifications and changes can be made without departing from the scope of this disclosure. Therefore, considerations for this disclosure are to be illustrative rather than restrictive, and all such modifications are to be included within its scope. Similarly, advantages, other advantages, and solutions to problems with respect to various embodiments have been described above. However, benefits, advantages, solutions to problems, and any elements that produce these, or make them more explicit, should not be construed as critical, essential, or necessary. The term “comprising” and any other variations thereof as used herein are non-exclusive inclusion, meaning that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed or not part of the process, method, system, article, or apparatus. Furthermore, the term “coupled” and any other variations thereof as used herein refer to physical connections, electrical connections, magnetic connections, optical connections, communication connections, functional connections, and / or any other connections.

[0128] Those skilled in the art will recognize that many changes can be made to the details of the above embodiments without departing from the basic principles of the invention. Therefore, the scope of the invention should be determined only by the following claims.

Claims

1. An ultrasound image processing method, characterized in that, The method includes the following steps: Acquire ultrasound images, which include either ultrasound images or ultrasound videos; Based on the ultrasound images, motion tracking is performed on at least one region of interest in the heart to obtain the tracking results of the at least one region of interest. Determine the tracking quality of the tracking results for the at least one region of interest; Displays the tracking quality of the at least one region of interest, where the tracking quality is the confidence level of the tracking results for the corresponding region of interest, indicating the reliability of the tracking results for the corresponding region of interest. Display the tracking results of the at least one region of interest, and Display the tracking time of the at least one region of interest, wherein the tracking time is the time when the tracking result of the at least one region of interest reaches its peak; The step of "determining the tracking quality of the tracking results for the at least one region of interest" includes: Based on multiple local sub-regions pre-divided from the region of interest, the tracking quality of each of the multiple local sub-regions is determined. The tracking results include at least quantitative parameters of myocardial motion, and the tracking quality of the local sub-region is the tracking quality of the peak value of the quantitative parameters of myocardial motion in the local sub-region.

2. The ultrasound image processing method as described in claim 1, characterized in that, The step of "displaying the tracking quality of the at least one region of interest" includes: Generate a tracking quality indicator for the local sub-region based on the tracking quality of the local sub-region of the region of interest; Combining the anatomical structure of the region of interest (ROI) with the pre-divided multiple local sub-regions, the tracking quality indicators of the multiple local sub-regions of the ROI are arranged in a color-coded form to form the anatomical shape of the ROI; wherein, the tracking quality indicator of each local sub-region corresponds to a color-coded block; The tracking quality indicator displays the anatomical shape arranged in the region of interest.

3. The ultrasound image processing method as described in claim 1, characterized in that, The step of "displaying the tracking results of the at least one region of interest" includes: Generate a tracking result indication for the local sub-region based on the tracking results of the local sub-region of the region of interest; Combining the anatomical structure of the region of interest (ROI) with the pre-divided multiple local sub-regions, the tracking results of the multiple local sub-regions of the ROI are arranged in a color-coded form to form the anatomical shape of the ROI; wherein, each local sub-region tracking result corresponds to a color-coded block; The tracking results are displayed as an indication of the anatomical shape arranged in the region of interest.

4. The ultrasound image processing method as described in claim 1, characterized in that, The step of "displaying the tracking time of the at least one region of interest" includes: The tracking result indication for the local sub-region is generated based on the tracking time of the local sub-region of the region of interest. Combining the anatomical structure of the region of interest (ROI) with the pre-divided multiple local sub-regions, the tracking time indicators of the multiple local sub-regions of the ROI are arranged in a color-coded form to form the anatomical shape of the ROI; wherein, the tracking time indicator of each local sub-region corresponds to a color-coded block; The tracking time indication displays the anatomical shape arranged in the region of interest.

5. The ultrasound image processing method as described in claim 1, characterized in that, The method further includes the following steps: In response to a user's action to remove a certain local sub-region, the analysis results of the removed local sub-region are discarded.

6. The ultrasound image processing method according to any one of claims 1-5, characterized in that, The method further includes the following steps: A prompt message is generated to ask the user whether they accept the tracking results; If the user selects "Yes", the analysis results will be displayed.

7. The ultrasound image processing method as described in claim 2, characterized in that, The anatomical shape formed by arranging the tracking quality indicators of the multiple local sub-regions is a cardiac segmental diagram shape and / or a bullseye diagram shape.

8. The ultrasound image processing method as described in claim 7, characterized in that, The bullseye chart of tracking quality includes the peak tracking quality of the tracking results of at least one local sub-region of the cross-section of the region of interest in multiple directions.

9. The ultrasound image processing method as described in claim 3, characterized in that, The tracking results of the multiple local sub-regions indicate that the anatomical shape they are arranged into is a cardiac segmental diagram shape and / or a bullseye diagram shape.

10. The ultrasound image processing method as described in claim 7, characterized in that, The bullseye plot of the tracking results includes the peak values ​​of the tracking results for at least one local sub-region of the region of interest in multiple directions.

11. The ultrasound image processing method as described in claim 4, characterized in that, The anatomical shape formed by arranging the tracking time indicators of the multiple local sub-regions is a cardiac segmental diagram shape and / or a bullseye diagram shape.

12. The ultrasound image processing method as described in claim 10, characterized in that, The bullseye chart of the tracking time includes the time when the tracking results of at least one local sub-region of the region of interest in multiple directions reach their peak.

13. The ultrasound image processing method according to any one of claims 7-12, characterized in that, The method further includes the following steps: In response to the user's selection of a local sub-region of the target region of interest, the part of the anatomical shape corresponding to the selected local sub-region is highlighted.

14. The ultrasound image processing method according to any one of claims 1-4, characterized in that, The at least one region of interest includes at least one of the endocardium, myocardial media, and epicardium.

15. An ultrasound image processing method, characterized in that, The method includes the following steps: Acquire ultrasound images, which include either ultrasound images or ultrasound videos; Based on the ultrasound images, motion tracking is performed on at least one region of interest to obtain the tracking result of the at least one region of interest; Determine the tracking quality of the tracking results for the at least one region of interest; The tracking quality is displayed as the confidence level of the tracking result for the corresponding region of interest, indicating the reliability of the tracking result for the corresponding region of interest; Display the tracking results of the at least one region of interest, or Display the tracking time of the at least one region of interest, wherein the tracking time is the time when the tracking result of the at least one region of interest reaches its peak; The step of "determining the tracking quality of the tracking results for the at least one region of interest" includes: Based on multiple local sub-regions pre-divided from the region of interest, the tracking quality of each of the multiple local sub-regions is determined. The tracking results include at least quantitative parameters of myocardial motion, and the tracking quality of the local sub-region is the tracking quality of the peak value of the quantitative parameters of myocardial motion in the local sub-region.

16. An ultrasonic image processing device, characterized in that, The ultrasound image processing device includes: Displays; and The processor is used to perform the following steps: Acquire ultrasound images, which include either ultrasound images or ultrasound videos; Based on the ultrasound images, motion tracking is performed on at least one region of interest to obtain the tracking result of the at least one region of interest; Determine the tracking quality of the tracking results for the at least one region of interest; The display is controlled to show the tracking quality of the at least one region of interest, where the tracking quality is the confidence level of the tracking result for the corresponding region of interest, indicating the degree of reliability of the tracking result for the corresponding region of interest. Control the display to show the tracking results of the at least one region of interest, and The display is controlled to show the tracking time of the at least one region of interest, wherein the tracking time is the time when the tracking result of the at least one region of interest reaches a peak. The step of "determining the tracking quality of the tracking results for the at least one region of interest" includes: Based on multiple local sub-regions pre-divided from the region of interest, the tracking quality of each of the multiple local sub-regions is determined; the tracking result includes at least quantitative parameters of myocardial motion, and the tracking quality of each local sub-region is the tracking quality of the peak value of the quantitative parameters of myocardial motion in the local sub-region.

17. The ultrasonic image processing device as described in claim 16, characterized in that, The step of "controlling the display to show the tracking quality of the at least one region of interest" includes: Generate a tracking quality indicator for the local sub-region based on the tracking quality of the local sub-region of the region of interest; Combining the anatomical structure of the region of interest (ROI) with the pre-divided multiple local sub-regions, the tracking quality indicators of the multiple local sub-regions of the ROI are arranged in a color-coded form to form the anatomical shape of the ROI; wherein, the tracking quality indicator of each local sub-region corresponds to a color-coded block; The display is controlled to show tracking quality indicators of the anatomical shapes arranged in the region of interest.

18. The ultrasonic image processing device as described in claim 16, characterized in that, The step of "controlling the display to show the tracking results of the at least one region of interest" includes: Generate a tracking result indication for the local sub-region based on the tracking results of the local sub-region of the region of interest; Combining the anatomical structure of the region of interest (ROI) with the pre-divided multiple local sub-regions, the tracking results of the multiple local sub-regions of the ROI are arranged in a color-coded form to form the anatomical shape of the ROI; wherein, each local sub-region tracking result corresponds to a color-coded block; The display is controlled to show the tracking results indication of the anatomical shapes arranged in the region of interest.

19. The ultrasonic image processing device as described in claim 16, characterized in that, The step of "controlling the display to show the tracking time of the at least one region of interest" includes: The tracking time indication of the local sub-region is generated based on the tracking time of the local sub-region of the region of interest; Combining the anatomical structure of the region of interest (ROI) with the pre-divided multiple local sub-regions, the tracking time indicators of the multiple local sub-regions of the ROI are arranged in a color-coded form to form the anatomical shape of the ROI; wherein, the tracking time indicator of each local sub-region corresponds to a color-coded block; The display is controlled to show a tracking time indication of the anatomical shapes arranged in the region of interest.

20. The ultrasonic image processing device as described in claim 17, characterized in that, The anatomical shape formed by arranging the tracking quality indicators of the multiple local sub-regions is a cardiac segmental diagram shape and / or a bullseye diagram shape.

21. The ultrasonic image processing apparatus as described in claim 20, characterized in that, The bullseye chart of tracking quality includes the peak tracking quality of the tracking results of at least one local sub-region of the cross-section of the region of interest in multiple directions.

22. The ultrasonic image processing device as described in claim 18, characterized in that, The tracking results of the multiple local sub-regions indicate that the anatomical shape they are arranged into is a cardiac segmental diagram shape and / or a bullseye diagram shape.

23. The ultrasonic image processing device as described in claim 22, characterized in that, The bullseye plot of the tracking results includes the peak values ​​of the tracking results for at least one local sub-region of the region of interest in multiple directions.

24. The ultrasonic image processing device as described in claim 19, characterized in that, The anatomical shape formed by arranging the tracking time indicators of the multiple local sub-regions is a cardiac segmental diagram shape and / or a bullseye diagram shape.

25. The ultrasonic image processing device as described in claim 24, characterized in that, The bullseye chart of the tracking time includes the time when the tracking results of at least one local sub-region of the region of interest in multiple directions reach their peak.

26. An ultrasonic image processing device, characterized in that, The ultrasound image processing device includes: Displays; and The processor is used to perform the following steps: Acquire ultrasound images, which include either ultrasound images or ultrasound videos; Based on the ultrasound images, motion tracking is performed on at least one region of interest to obtain the tracking result of the at least one region of interest; Determine the tracking quality of the tracking results for the at least one region of interest; The display is controlled to show the tracking quality of the at least one region of interest, wherein the tracking quality is the confidence level of the tracking result for the corresponding region of interest, indicating the reliability of the tracking result for the corresponding region of interest; Control the display to show the tracking results of the at least one region of interest, or The display is controlled to show the tracking time of the at least one region of interest, wherein the tracking time is the time when the tracking result of the at least one region of interest reaches a peak. The step of "determining the tracking quality of the tracking results for the at least one region of interest" includes: Based on multiple local sub-regions pre-divided from the region of interest, the tracking quality of each of the multiple local sub-regions is determined; the tracking result includes at least quantitative parameters of myocardial motion, and the tracking quality of each local sub-region is the tracking quality of the peak value of the quantitative parameters of myocardial motion in the local sub-region.

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