Carotid artery three-dimensional reconstruction method and device

Abstract

The invention provides a carotid artery three-dimensional reconstruction method and device, and relates to the technical field of three-dimensional reconstruction. The method comprises the following steps: performing image segmentation on a carotid artery transection ultrasonic image to obtain a carotid artery feature mask; soft tissue deformation compensation is carried out on the carotid artery feature mask based on the first mass center and the first area of the carotid artery feature mask, and a compensation mask is obtained; and performing three-dimensional reconstruction of the carotid artery ultrasonic image based on the carotid artery feature mask, the compensation mask and the carotid artery transection ultrasonic image. According to the carotid artery three-dimensional reconstruction method and device provided by the invention, the real environment of the carotid artery and the dynamic interaction between the carotid artery and the surrounding soft tissue can be accurately reflected, the limitation of a three-dimensional model in clinical application is broken through, the dependence on additional special equipment is not needed, the application cost is relatively low, and the applicability is high.

Description

Technical Field

[0001] The present application relates to the field of three-dimensional reconstruction technology, and in particular to a method and device for three-dimensional reconstruction of a carotid artery. Background Art

[0002] Ultrasound-based three-dimensional reconstruction of the carotid artery is an innovative and practical technology that uses ultrasound imaging to obtain continuous cross-sectional images of the carotid artery, which are then processed by relevant software to generate a three-dimensional view of the carotid artery. This method has the advantages of being non-invasive, cost-effective, and able to obtain images instantly, making it extremely popular in clinical practice. In practical applications, ultrasound-based three-dimensional reconstruction technology can provide detailed information about the thickness of the carotid intima, the shape and location of plaques, and the overall morphology of blood vessels. This information is essential for early identification of risk factors for carotid artery disease, monitoring disease progression, and evaluating treatment effectiveness. For example, by observing changes in the thickness of the carotid intima and the growth pattern of plaques, doctors can better assess patients' risk of cardiovascular disease.

[0003] Although the existing carotid artery 3D reconstruction techniques have made significant progress, most methods focus on accurately reconstructing the hard tissue structure of the carotid artery, such as the location and morphology of the vessel wall and plaque. However, these methods mainly ignore the deformation of the soft tissues around the carotid artery, which also play an important role in diagnosis and surgical planning. Soft tissue deformation, such as muscle and fat displacement, may affect the actual position and morphology of the carotid artery according to the expansion and contraction of the carotid artery with the heartbeat, especially during surgery or other interventional treatments. Failure to consider these factors may lead to limitations in the clinical application of 3D models, as they may not fully reflect the real environment of the carotid artery and its dynamic interaction with the surrounding soft tissues.

[0004] Moreover, these methods usually need to rely on additional specialized equipment, such as a six-degree-of-freedom scanning structure for the probe or a probe tracking device. The versatility of these technologies is also limited. Since different devices and algorithms usually require specific operating skills and software support, the popularization of technology and its application in different medical environments have become a challenge. Especially in areas with limited resources, such high-cost and high-tech equipment is difficult to popularize, limiting the scope of application. Summary of the invention

[0005] The present application provides a method and device for three-dimensional reconstruction of the carotid artery, which is used to solve the defects of the prior art that the deformation of the soft tissue around the carotid artery is ignored, resulting in difficulty in fully reflecting the real environment of the carotid artery and a high equipment threshold.

[0006] In a first aspect, the present application provides a method for three-dimensional reconstruction of a carotid artery, comprising: Perform image segmentation on the carotid artery cross-section ultrasound image to obtain the carotid artery feature mask; Based on the first centroid and the first area of ​​the carotid artery feature mask, performing soft tissue deformation compensation on the carotid artery feature mask to obtain a compensated mask; Based on the carotid artery feature mask, the compensation mask and the carotid artery cross-section ultrasound image, a three-dimensional reconstruction of the carotid artery ultrasound image is performed.

[0007] Optionally, performing soft tissue deformation compensation on the carotid artery feature mask based on the first centroid and the first area of ​​the carotid artery feature mask to obtain a compensated mask includes: Performing a low-pass filter on the first centroid to obtain a second centroid; and performing a low-pass filter on the first area to obtain a second area; Based on the first centroid, the second centroid, the first area, and the second area, soft tissue deformation compensation is performed on the carotid artery feature mask to obtain the compensated mask.

[0008] Optionally, performing soft tissue deformation compensation on the carotid artery feature mask based on the first centroid, the second centroid, the first area, and the second area to obtain the compensated mask includes: Determine a translation amount based on the first center of mass and the second center of mass; and determine a scaling ratio based on the first area and the second area; Based on the translation amount and the scaling ratio, transforming the carotid artery feature mask to obtain a transformed mask; Gaussian filtering is performed on the transformed mask to obtain the compensated mask.

[0009] Optionally, the three-dimensional reconstruction of the carotid artery ultrasound image based on the carotid artery feature mask, the compensation mask and the carotid artery cross-section ultrasound image includes: Expanding the carotid artery feature mask to obtain an expanded carotid artery feature mask; and expanding the compensation mask to obtain an expanded compensation mask; Calculating a dense optical flow field between the expanded carotid artery feature mask and the expanded compensation mask; Based on the dense optical flow field and the carotid artery cross-section ultrasound image, a three-dimensional reconstruction of the carotid artery ultrasound image is performed.

[0010] Optionally, the three-dimensional reconstruction of the carotid artery ultrasound image based on the dense optical flow field and the carotid artery cross-sectional ultrasound image includes: Performing optical flow field compensation on the carotid artery transverse ultrasound image based on the dense optical flow field to obtain a compensated ultrasound image; Based on the compensated ultrasound image, a three-dimensional reconstruction of the carotid artery ultrasound image is performed.

[0011] Optionally, the method further comprises: Acquire a three-dimensional reconstruction result after three-dimensional reconstruction of the carotid artery ultrasound image; The three-dimensional reconstruction result is processed based on a preset target image viewing angle to obtain a target carotid artery ultrasound image.

[0012] In a second aspect, the present application further provides a carotid artery three-dimensional reconstruction device, comprising: An image segmentation module is used to segment the carotid artery cross-section ultrasound image to obtain a carotid artery feature mask; A deformation compensation module, used for performing soft tissue deformation compensation on the carotid artery feature mask based on the first centroid and the first area of ​​the carotid artery feature mask to obtain a compensated mask; The three-dimensional reconstruction module is used to perform three-dimensional reconstruction of the carotid artery ultrasound image based on the carotid artery feature mask, the compensation mask and the carotid artery cross-section ultrasound image.

[0013] In a third aspect, the present application further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect when executing the program.

[0014] In a fourth aspect, the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect.

[0015] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which implements the method described in the first aspect when executed by a processor.

[0016] The carotid artery three-dimensional reconstruction method and device provided in the present application compensate for the soft tissue deformation of the carotid artery feature mask and then reconstruct the three-dimensional carotid artery ultrasound image, taking into account the soft tissue deformation of the human body and compensating for it, and can accurately reflect the real environment of the carotid artery and its dynamic interaction with the surrounding soft tissue, breaking through the limitations of the three-dimensional model in clinical application, and does not need to rely on additional special equipment, so the application cost is low and the applicability is strong. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 It is a schematic diagram of the process of the three-dimensional reconstruction method of the carotid artery provided by the present application; Figure 2 It is a schematic diagram of the principle of the three-dimensional reconstruction method of the carotid artery provided by the present application; Figure 3 is a schematic structural diagram of a carotid artery three-dimensional reconstruction device provided by the present application; Figure 4 It is a schematic diagram of the structure of the electronic device provided by this application. DETAILED DESCRIPTION

[0019] Based on the anatomical structure of the human carotid artery and the principle of ultrasonic imaging, this application proposes a three-dimensional reconstruction method of the carotid artery that takes into account soft tissue deformation compensation, as well as a method for generating carotid ultrasound based on the reconstruction results. This method does not rely on a specific mechanical device configuration and ultrasonic device model, and does not require an external positioning sensor. This method requires the acquisition of a structured cross-sectional ultrasound image of the carotid artery, which requires the acquisition device to move in a fixed pattern along the direction of the carotid artery. The pattern here includes but is not limited to linear movement or movement at a certain set speed pattern.

[0020] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0021] Figure 1 3D reconstruction of the carotid artery provided by the present application. Figure 1 The embodiment of the present application provides a method for three-dimensional reconstruction of a carotid artery, the execution subject of which may be an electronic device, for example, a controller, and the method may include: Step 110, performing image segmentation on the carotid artery transverse ultrasound image to obtain a carotid artery feature mask; Step 120, based on the first centroid and the first area of ​​the carotid artery feature mask, perform soft tissue deformation compensation on the carotid artery feature mask to obtain a compensated mask; Step 130: Perform three-dimensional reconstruction of the carotid artery ultrasound image based on the carotid artery feature mask, the compensation mask and the carotid artery cross-sectional ultrasound image.

[0022] In step 110, the controller can use a neural network method to segment the carotid artery transverse ultrasound image to obtain a carotid artery feature mask. The carotid artery feature mask obtained at this time is a binary mask. The segmentation content includes the aorta, the carotid bifurcation, the internal carotid artery and the external carotid artery.

[0023] In step 120, the controller can calculate the foreground centroid (i.e., the first centroid) and area (i.e., the first area) of the carotid artery feature mask. Based on the first centroid and the first area of ​​the carotid artery feature mask and the continuity of the centroid and the area, the carotid artery feature mask is compensated for soft tissue deformation to obtain a compensated mask. The mask compensation method includes a filtering and mask deformation method based on morphological continuity, and a mask binarization method after filtering. It should be noted that the compensation mask at this stage is no longer binary. The elements in the mask are updated by resetting the threshold, wherein the selection of the threshold can be performed by an adaptive threshold method.

[0024] In step 130, the controller may perform three-dimensional reconstruction of the carotid artery ultrasound image based on the optical flow field between the carotid artery feature mask and the compensation mask and the carotid artery cross-sectional ultrasound image to obtain a three-dimensional reconstruction result (a three-dimensional model of the carotid artery and a three-dimensional ultrasound image).

[0025] The three-dimensional reconstruction method of the carotid artery provided in the embodiment of the present application performs soft tissue deformation compensation on the carotid artery feature mask and then performs three-dimensional reconstruction of the carotid artery ultrasound image. This takes into account the soft tissue deformation of the human body and compensates for it. It can accurately reflect the real environment of the carotid artery and its dynamic interaction with the surrounding soft tissue, breaking through the limitations of the three-dimensional model in clinical application, and does not require reliance on additional special equipment. It has low application cost and strong applicability.

[0026] Figure 2 is a schematic diagram of the principle of the three-dimensional reconstruction method of the carotid artery provided in this application, referring to Figure 2 , the three-dimensional reconstruction method of the carotid artery provided in this application is further explained.

[0027] In one embodiment, based on the first centroid and the first area of ​​the carotid artery feature mask, the carotid artery feature mask is compensated for soft tissue deformation to obtain a compensated mask, including: Performing a low-pass filter on the first centroid to obtain a second centroid; and performing a low-pass filter on the first area to obtain a second area; Based on the first centroid, the second centroid, the first area, and the second area, the carotid artery feature mask is compensated for soft tissue deformation to obtain a compensated mask.

[0028] Based on the research on the common carotid artery segmentation results, this embodiment uses the centroid, area and boundary continuity of the carotid artery mask to perform mask correction. Specifically, for an ultrasound image frame , the carotid artery image segmentation result carotid artery feature mask is a binary mask The controller can calculate its foreground center of mass (first center of mass) as , the area (first area) is Based on the continuity of the mask centroid, the sequence Perform low-pass filtering to obtain a new centroid, the second centroid Similarly, based on the continuity of the mask area, the sequence { Perform low-pass filtering to obtain a new area, i.e., the second surface basis . Then transform it again to get the compensation mask.

[0029] Specifically, in one embodiment, based on the first centroid, the second centroid, the first area, and the second area, the carotid artery feature mask is compensated for soft tissue deformation to obtain a compensated mask, including: Determine a translation amount based on the first centroid and the second centroid; and determine a scaling ratio based on the first area and the second area; Based on the translation amount and the scaling ratio, the carotid artery feature mask is transformed to obtain a transformed mask; The transformed mask is subjected to Gaussian filtering to obtain a compensated mask.

[0030] The controller can mask the carotid artery features Apply an initial translation transform with an amount of Then, take the second centroid The scaling transformation is centered at , the transformed mask is expressed as The controller then performs a Gaussian filter on the transformed mask to obtain a compensated mask. This means that the value of a given pixel is derived from Gaussian smoothing the values ​​of corresponding positions in several adjacent masks.

[0031] The three-dimensional reconstruction method of the carotid artery provided in the embodiment of the present application performs soft tissue deformation compensation on the carotid artery feature mask and then performs three-dimensional reconstruction of the carotid artery ultrasound image. This takes into account the soft tissue deformation of the human body and compensates for it. It can accurately reflect the real environment of the carotid artery and its dynamic interaction with the surrounding soft tissue, breaking through the limitations of the three-dimensional model in clinical application, and does not require reliance on additional special equipment. It has low application cost and strong applicability.

[0032] In one embodiment, three-dimensional reconstruction of a carotid artery ultrasound image is performed based on a carotid artery feature mask, a compensation mask, and a carotid artery cross-sectional ultrasound image, including: Expanding the carotid artery feature mask to obtain an expanded carotid artery feature mask; and expanding the compensation mask to obtain an expanded compensation mask; Calculate the dense optical flow field between the expanded carotid artery feature mask and the expanded compensation mask; The three-dimensional reconstruction of the carotid artery ultrasound image is performed based on the dense optical flow field and the carotid artery cross-section ultrasound image.

[0033] This application proposes an algorithm based on optical flow to deform the original ultrasound image based on the calculated mask. In order to ensure the continuity of the optical flow, the carotid artery feature mask and the compensation mask need to be expanded by assigning values ​​based on the distance between the background pixel and the foreground pixel.

[0034] Based on this expansion, the optical flow method is used to calculate the dense optical flow field between the expanded original carotid artery mask and the compensated mask. Based on the dense optical flow field and the carotid artery cross-section ultrasound image, the three-dimensional reconstruction of the carotid artery ultrasound image is performed.

[0035] Furthermore, in one embodiment, three-dimensional reconstruction of the carotid artery ultrasound image is performed based on the dense optical flow field and the carotid artery cross-sectional ultrasound image, including: Based on the dense optical flow field, optical flow field compensation is performed on the carotid artery cross-section ultrasound image to obtain a compensated ultrasound image; Based on the compensated ultrasound image, a three-dimensional reconstruction of the carotid artery ultrasound image is performed.

[0036] By applying the dense optical flow field to the original ultrasound image, the desired ultrasound image with motion compensation can be obtained. Based on the compensation result of the carotid artery mask and the ultrasound image, that is, the compensated ultrasound image, the controller can use traditional three-dimensional reconstruction algorithms to achieve three-dimensional reconstruction of the carotid artery, including voxel-based methods, pixel-based methods, and interpolation function-based methods.

[0037] The carotid artery 3D reconstruction method provided in the embodiment of the present application uses a mask-based image compensation method, including applying optical flow field calculation technology to a mask, and applying the obtained optical flow field changes to the original image to perform 3D reconstruction of the carotid artery. The deformation of the human body can be compensated by the mask, thereby improving the accuracy of the 3D reconstruction of the carotid artery, and can accurately reflect the real environment of the carotid artery and its dynamic interaction with the surrounding soft tissues, breaking through the limitations of the 3D model in clinical applications, and does not require reliance on additional special equipment, so the application cost is low and the applicability is strong.

[0038] In one embodiment, the method for 3D reconstruction of carotid arteries further comprises: Acquire a three-dimensional reconstruction result after three-dimensional reconstruction of the carotid artery ultrasound image; The three-dimensional reconstruction result is processed based on the preset target image viewing angle to obtain the target carotid artery ultrasound image.

[0039] The present application can realize the generation of ultrasonic images of the carotid artery at various angles based on the three-dimensional model of the carotid artery and the three-dimensional ultrasonic image obtained by three-dimensional reconstruction. First, the image viewing angle is set according to the demand, that is, the target image viewing angle is preset, including the rotation angle and the observation direction. Then, a rotation matrix is ​​constructed based on the preset target image viewing angle and multiplied with the coordinates of each voxel to realize the rotation transformation of the three-dimensional voxel. Then, interpolation methods including nearest neighbor interpolation, linear interpolation and cubic interpolation are adopted to realize the generation of multi-angle carotid artery ultrasonic images to obtain the target carotid artery ultrasonic image.

[0040] The three-dimensional reconstruction method of the carotid artery provided in the embodiment of the present application realizes the generation of ultrasound images of the carotid artery at various angles based on the three-dimensional model of the carotid artery obtained by three-dimensional reconstruction and the three-dimensional ultrasound image, and can quickly and accurately obtain carotid artery images to assist medical personnel in making decisions.

[0041] The following is a description of the carotid artery three-dimensional reconstruction device provided by the present application. The carotid artery three-dimensional reconstruction device described below and the carotid artery three-dimensional reconstruction method described above can be referenced to each other.

[0042] Figure 3 Schematic diagram of the structure of the carotid artery three-dimensional reconstruction device provided by the present application. Figure 3 The carotid artery three-dimensional reconstruction device provided in the embodiment of the present application may include: An image segmentation module 310 is used to segment the carotid artery transverse ultrasound image to obtain a carotid artery feature mask; A deformation compensation module 320, configured to perform soft tissue deformation compensation on the carotid artery feature mask based on the first centroid and the first area of ​​the carotid artery feature mask to obtain a compensated mask; The three-dimensional reconstruction module 330 is used to perform three-dimensional reconstruction of the carotid artery ultrasound image based on the carotid artery feature mask, the compensation mask and the carotid artery cross-section ultrasound image.

[0043] The carotid artery three-dimensional reconstruction device provided in the embodiment of the present application compensates for the soft tissue deformation of the carotid artery feature mask and then reconstructs the three-dimensional carotid artery ultrasound image. It takes into account the soft tissue deformation of the human body and compensates for it. It can accurately reflect the real environment of the carotid artery and its dynamic interaction with the surrounding soft tissue, breaking through the limitations of the three-dimensional model in clinical application, and does not need to rely on additional special equipment. The application cost is low and the applicability is strong.

[0044] Specifically, the above-mentioned carotid artery three-dimensional reconstruction device provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment in which the execution subject is the controller, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as those of the method embodiment will not be described in detail here.

[0045] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communications interface 420 and the memory 430 communicate with each other via the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the carotid artery three-dimensional reconstruction method, for example, including: Perform image segmentation on the carotid artery cross-section ultrasound image to obtain the carotid artery feature mask; Based on the first centroid and the first area of ​​the carotid artery feature mask, performing soft tissue deformation compensation on the carotid artery feature mask to obtain a compensated mask; Based on the carotid artery feature mask, the compensation mask and the carotid artery cross-section ultrasound image, a three-dimensional reconstruction of the carotid artery ultrasound image is performed.

[0046] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0047] On the other hand, the present application also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the steps of the carotid artery three-dimensional reconstruction method provided by the above methods, for example, including: Perform image segmentation on the carotid artery cross-section ultrasound image to obtain the carotid artery feature mask; Based on the first centroid and the first area of ​​the carotid artery feature mask, performing soft tissue deformation compensation on the carotid artery feature mask to obtain a compensated mask; Based on the carotid artery feature mask, the compensation mask and the carotid artery cross-section ultrasound image, a three-dimensional reconstruction of the carotid artery ultrasound image is performed.

[0048] In another aspect, the present application further provides a computer program product, the computer program product comprising a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can execute the steps of the carotid artery three-dimensional reconstruction method provided by the above methods, for example, including: Perform image segmentation on the carotid artery cross-section ultrasound image to obtain the carotid artery feature mask; Based on the first centroid and the first area of ​​the carotid artery feature mask, performing soft tissue deformation compensation on the carotid artery feature mask to obtain a compensated mask; Based on the carotid artery feature mask, the compensation mask and the carotid artery cross-section ultrasound image, a three-dimensional reconstruction of the carotid artery ultrasound image is performed.

[0049] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0050] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0051] It should also be noted that the terms "first", "second", etc. in the embodiments of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first" and "second" are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more.

[0052] In the embodiments of the present application, the term "and / or" describes the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0053] "Determine B based on A" in the embodiments of the present application means that the factor A should be considered when determining B. It is not limited to "B can be determined based on A alone", but should also include: "Determine B based on A and C", "Determine B based on A, C and E", "Determine C based on A, and further determine B based on C", etc. In addition, it can also include taking A as a condition for determining B, for example, "When A meets the first condition, use the first method to determine B"; for another example, "When A meets the second condition, determine B", etc.; for another example, "When A meets the third condition, determine B based on the first parameter", etc. Of course, it can also be a condition that takes A as a factor for determining B, for example, "When A meets the first condition, use the first method to determine C, and further determine B based on C", etc.

[0054] In the embodiments of the present application, the term "plurality" refers to two or more than two, and other quantifiers are similar.

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for three-dimensional reconstruction of carotid artery, characterized in that: include: Perform image segmentation on the carotid artery cross-section ultrasound image to obtain the carotid artery feature mask; Based on the first centroid and the first area of ​​the carotid artery feature mask, performing soft tissue deformation compensation on the carotid artery feature mask to obtain a compensated mask; Based on the carotid artery feature mask, the compensation mask and the carotid artery cross-section ultrasound image, a three-dimensional reconstruction of the carotid artery ultrasound image is performed.

2. The method for three-dimensional reconstruction of carotid arteries according to claim 1, characterized in that: The method of performing soft tissue deformation compensation on the carotid artery feature mask based on the first centroid and the first area of ​​the carotid artery feature mask to obtain a compensated mask includes: Performing a low-pass filter on the first centroid to obtain a second centroid; and performing a low-pass filter on the first area to obtain a second area; Based on the first centroid, the second centroid, the first area, and the second area, soft tissue deformation compensation is performed on the carotid artery feature mask to obtain the compensated mask.

3. The method for three-dimensional reconstruction of carotid arteries according to claim 2, characterized in that: The step of performing soft tissue deformation compensation on the carotid artery feature mask based on the first centroid, the second centroid, the first area, and the second area to obtain the compensated mask includes: Determine a translation amount based on the first center of mass and the second center of mass; and determine a scaling ratio based on the first area and the second area; Based on the translation amount and the scaling ratio, transforming the carotid artery feature mask to obtain a transformed mask; Gaussian filtering is performed on the transformed mask to obtain the compensated mask.

4. The method for three-dimensional reconstruction of carotid arteries according to claim 1, characterized in that: The three-dimensional reconstruction of the carotid artery ultrasound image based on the carotid artery feature mask, the compensation mask and the carotid artery cross-section ultrasound image comprises: Expanding the carotid artery feature mask to obtain an expanded carotid artery feature mask; and expanding the compensation mask to obtain an expanded compensation mask; Calculating a dense optical flow field between the expanded carotid artery feature mask and the expanded compensation mask; Based on the dense optical flow field and the carotid artery cross-section ultrasound image, a three-dimensional reconstruction of the carotid artery ultrasound image is performed.

5. The method for three-dimensional reconstruction of carotid arteries according to claim 4, characterized in that: The three-dimensional reconstruction of the carotid artery ultrasound image based on the dense optical flow field and the carotid artery cross-section ultrasound image comprises: Performing optical flow field compensation on the carotid artery transverse ultrasound image based on the dense optical flow field to obtain a compensated ultrasound image; Based on the compensated ultrasound image, a three-dimensional reconstruction of the carotid artery ultrasound image is performed.

6. The method for three-dimensional reconstruction of the carotid artery according to any one of claims 1 to 5, characterized in that: The method further comprises: Acquire a three-dimensional reconstruction result after three-dimensional reconstruction of the carotid artery ultrasound image; The three-dimensional reconstruction result is processed based on a preset target image viewing angle to obtain a target carotid artery ultrasound image.

7. A three-dimensional reconstruction device for carotid arteries, characterized in that: include: An image segmentation module is used to segment the carotid artery cross-section ultrasound image to obtain a carotid artery feature mask; A deformation compensation module, used for performing soft tissue deformation compensation on the carotid artery feature mask based on the first centroid and the first area of ​​the carotid artery feature mask to obtain a compensated mask; The three-dimensional reconstruction module is used to perform three-dimensional reconstruction of the carotid artery ultrasound image based on the carotid artery feature mask, the compensation mask and the carotid artery cross-section ultrasound image.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the three-dimensional reconstruction method of the carotid artery according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for three-dimensional reconstruction of the carotid artery according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for three-dimensional reconstruction of the carotid artery according to any one of claims 1 to 6 is implemented.

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