Tumor and blood vessel three-dimensional model construction method, device, equipment and medium
The three-dimensional model of tumor and blood vessels is constructed through multimodal imaging three-dimensional fusion reconstruction technology, which solves the three-dimensional spatial problem of tumor and blood vessel relationship evaluation in the existing technology, realizes precise control of three-dimensional and minimally invasive surgery, and improves the quality of surgery.
Patent Information
- Application Number
- CN202311691672.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-11
- Publication Date
- 2025-07-22
- Estimated Expiration
- 2043-12-11
AI Technical Summary
The existing tumor-vascular relationship evaluation methods mainly rely on two-dimensional imaging data, making it difficult to achieve three-dimensional spatial distance measurement and structural relationship judgment. The existing system lacks vascular protection, which affects the implementation of minimally invasive and blood-free surgery.
Using multimodal image three-dimensional fusion reconstruction technology, masks and three-dimensional models are generated through Mimics Medical 17 software, combined with 3D livewire semi-automatic image segmentation algorithm, a three-dimensional fusion model between tumors and blood vessels is constructed, and the advantages of CT and MRI are used for stereoscopic evaluation.
A comprehensive, three-dimensional and intuitive evaluation of tumors and blood vessels of the pterygopalatine fossa and infratemporal fossa is achieved, providing clinicians with accurate vascular control ideas, and improving the minimally invasiveness and quality of the surgery.
Smart Images

Figure CN120355836A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of three-dimensional model modeling in the medical field, and in particular to a method, device, equipment and medium for constructing a three-dimensional model of tumors and blood vessels. Background Art
[0002] The anatomical structures of the pterygopalatine fossa and the infratemporal fossa are relatively complex and are closely related to important large blood vessels. Currently, for the surgical difficulties of tumors in the pterygopalatine fossa and the infratemporal fossa, there are already various tumor surgical zoning and grading systems in this area. However, the existing zoning systems have a single imaging basis and mainly rely on two-dimensional imaging data, making it difficult to measure the three-dimensional spatial distance between tumors and important blood vessels and judge the relative spatial structure relationship. Moreover, the existing systems do not adequately consider the protection and control of blood vessels, and are not very applicable to the endoscopic surgery of nasopharyngeal skull base tumors that are developing towards three-dimensional, minimally invasive, and bloodless surgeries. In addition, the main subjects of some studies are the cranial anatomical structures of healthy people, and it is difficult to simulate the displacement of anatomical landmark points caused by the compression and invasion of tumors in this area.
[0003] Therefore, how to comprehensively, three-dimensionally and intuitively evaluate the relationship between tumors and blood vessels in the pterygopalatine fossa and the infratemporal fossa is an urgent problem to be solved. Summary of the Invention
[0004] This application provides a method for constructing a three-dimensional model of tumors and blood vessels, which can comprehensively, three-dimensionally and intuitively evaluate the relationship between tumors and blood vessels in the pterygopalatine fossa and the infratemporal fossa by constructing a three-dimensional model.
[0005] In order to achieve the above object, the present invention adopts the following technical solutions:
[0006] In a first aspect, the present invention provides a method for constructing a three-dimensional model of tumors and blood vessels, the method comprising:
[0007] Obtain tumor images of the pterygopalatine fossa or the infratemporal fossa of a patient;
[0008] Import the tumor images into Mimics Medical 17 software, and based on the region growing algorithm of Mimics Medical 17 software, generate a first mask for the skull region from the CT images in the tumor images, and generate a second mask for the maxillary artery or internal carotid artery region from the CTA or
[0009] MRA images in the tumor images;
[0010] Generate a first three-dimensional model including the skull and blood vessels based on the first mask and the second mask;
[0011] Use the 3D livewire semi-automatic image segmentation algorithm to segment and label the tumor region along the tumor boundary in the tumor images,
[0012] Generate a third mask;
[0013] Generate a second three-dimensional model containing a tumor based on the third mask;
[0014] Fuse the tumor images to obtain a fused image;
[0015] Based on the fused image, use the fusion algorithm of Mimics Medical 17 to fuse the first mask, the second mask
[0016] and the third mask to generate a fused mask;
[0017] Based on the fused mask, fuse the first three-dimensional model and the second three-dimensional model to obtain a fused model.
[0018] In a preferred example of the present application, it can be further set that before importing the tumor image into the Mimics Medical 17 software, it includes:
[0019] Exclude the images in which the bone structure in the tumor image shows a partially defective state after surgery.
[0020] In a preferred example of the present application, it can be further set that generating the third mask includes:
[0021] Based on the horizontal, coronal, and sagittal planes of the tumor region on the CT image and / or MRI image, use the 3D livewire semi-automatic image segmentation algorithm to segment and label the tumor region along the tumor boundary of the CT image and / or MRI image to generate a third mask.
[0022] In a preferred example of the present application, it can be further set that the fusing the tumor images to obtain a fused image includes:
[0023] Import the CT, MRI, CTA, or MRA images in the tumor image into the Mimics Medical 17 software to obtain an imported image;
[0024] Align the imported images until all the imported images have the same reference coordinate system;
[0025] In different imported images, select 2 anatomical landmark points from the sagittal, coronal, and horizontal planes respectively, pair the anatomical landmark points of different imported images until the anatomical landmark points in different imported images have the same size, position, and orientation;
[0026] Use the fusion algorithm of Mimics Medical 17 to merge the pixel values of different imported images to generate a fused image.
[0027] In a preferred example of the present application, it can be further set to include:
[0028] Calibrate and adjust the fused image and the fusion model.
[0029] In a preferred example of the present application, it can be further set to include:
[0030] Materialize the first three-dimensional model, the second three-dimensional model, and the fusion model by 3D printing method.
[0031] In a second aspect, the present application provides a device for constructing a three-dimensional model of a tumor and blood vessels, the device including:
[0032] A data acquisition module, configured to acquire tumor images of the pterygopalatine fossa or the infratemporal fossa of a patient;
[0033] A mask generation module, configured to import the tumor images into Mimics Medical 17 software, and based on the region growing algorithm of Mimics Medical 17 software, generate a first mask for the skull region from the CT images in the tumor images, and generate a second mask for the maxillary artery or internal carotid artery region from the CTA or MRA images in the tumor images; use the 3D livewire semi-automatic image segmentation algorithm to segment and label the tumor region along the tumor boundary in the tumor images to generate a third mask; fuse the tumor images to obtain a fused image; based on the fused image, use the fusion algorithm of Mimics Medical 17 to fuse the first mask, the second mask, and the third mask to generate a fused mask;
[0034] A model creation module, configured to generate a first three-dimensional model including the skull and blood vessels based on the first mask and the second mask; generate a second three-dimensional model including the tumor based on the third mask; fuse the first three-dimensional model and the second three-dimensional model based on the fused mask to obtain a fusion model.
[0035] In a preferred example of the present application, it can be further set to include:
[0036] An image fusion module is configured to import CT, MRI, CTA or MRA images in the tumor images into Mimics Medical 17 software to obtain imported images; align the imported images until all the imported images have the same reference coordinate system; in different imported images, select 2 anatomical landmark points from the sagittal, coronal and horizontal planes respectively, pair the anatomical landmark points of different imported images until the anatomical landmark points in different imported images have the same size, position and orientation; use the fusion algorithm of Mimics Medical 17 to merge the pixel values of different imported images to generate a fused image.
[0037] In a third aspect, the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the tumor and blood vessel three-dimensional model construction method as described in any one of the above are implemented.
[0038] In a fourth aspect, the present application provides a computer-readable storage medium, on which a program is stored. When the program is executed by a processor, the tumor and blood vessel three-dimensional model construction method as described in any one of the above is implemented.
[0039] In summary, compared with the prior art, the beneficial effects brought by the technical solutions provided in the embodiments of the present application at least include:
[0040] A method for constructing a three-dimensional model of a tumor and blood vessels provided by this application includes obtaining tumor images of the pterygopalatine fossa or the infratemporal fossa of a patient; importing the tumor images into Mimics Medical 17 software, and based on the region growing algorithm of Mimics Medical 17 software, generating a first mask for the skull region from the CT images in the tumor images, and generating a second mask for the maxillary artery or internal carotid artery region from the CTA or MRA images in the tumor images; generating a first three-dimensional model including the skull and blood vessels based on the first mask and the second mask; using the 3D livewire semi-automatic image segmentation algorithm to segment and label the tumor region along the tumor boundary in the tumor images to generate a third mask; generating a second three-dimensional model including the tumor based on the third mask; fusing the tumor images to obtain a fused image; based on the fused image, using the fusion algorithm of Mimics Medical 17 to fuse the first mask, the second mask and the third mask to generate a fused mask; based on the fused mask, fusing the first three-dimensional model and the second three-dimensional model to obtain a fused model. By constructing a three-dimensional model using multi-modal image three-dimensional fusion and reconstruction technology, the advantages of CT and MRI are fully utilized to comprehensively, stereoscopically and intuitively evaluate the spatial positional relationship between the tumors in the pterygopalatine fossa and the infratemporal fossa and the maxillary artery and the internal carotid artery from the perspective of the surgeon, so as to provide ideas for the accurate control of blood vessels during surgery by clinicians, with the aim of achieving minimally invasive and bloodless surgery and improving the surgical quality. Description of the Drawings
[0041] Figure 1 It is a flowchart of a method for constructing a three-dimensional model of a tumor and blood vessels provided by an embodiment of this application.
[0042] Figure 2 It is a device diagram of a method for constructing a three-dimensional model of a tumor and blood vessels provided by an embodiment of this application. Detailed Embodiments
[0043] Next, the technical solutions in the embodiments of this application will be clearly and completely described in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.
[0044] In an embodiment of this application, a method for constructing a three-dimensional model of a tumor and blood vessels is provided. Please refer to Figure 1 as shown. The method includes:
[0045] S100: Obtain tumor images of the pterygopalatine fossa or the infratemporal fossa of a patient;
[0046] S200: Import the tumor image into the Mimics Medical 17 software. Based on the region growing algorithm of the Mimics Medical 17 software, generate a first mask for the skull region from the CT image in the tumor image, and generate a second mask for the maxillary artery or internal carotid artery region from the CTA or MRA image in the tumor image;
[0047] S300: Generate a first 3D model containing the skull and blood vessels based on the first mask and the second mask;
[0048] S400: Use the 3D livewire semi-automatic image segmentation algorithm to segment and label the tumor region along the tumor boundary in the tumor image to generate a third mask;
[0049] S500: Generate a second 3D model containing the tumor based on the third mask;
[0050] S600: Fuse the tumor images to obtain a fused image;
[0051] S700: Based on the fused image, use the fusion algorithm of Mimics Medical 17 to fuse the first mask, the second mask, and the third mask to generate a fused mask;
[0052] S800: Based on the fused mask, fuse the first 3D model and the second 3D model to obtain a fused model.
[0053] In specific implementation, the tumor in the tumor data is a primary tumor or a tumor involving the pterygopalatine fossa or the infratemporal fossa. The tumor imaging at least includes CTA (CT angiography), i.e., vascular enhanced angiography. The "Masks" in the Mimics Medical 17 software can also be translated as "mask". The specific steps of the region growing algorithm are as follows: Before starting the region growing, manually select one or more seed points located at the target reconstruction site; during the region growing process, determine whether a pixel or region should grow by setting the maximum and minimum threshold values; starting from the selected seed points, according to the growth rules, gradually grow and merge adjacent pixels or regions. The growth usually proceeds in an iterative manner, and in each iteration, the neighborhood of the current pixel or region is considered and it is judged whether to continue growing according to the growth rules; the region growing will continue until a stop condition is reached. The stop condition can be that the growth reaches a preset size or shape, or the pixel intensity or gradient exceeds a set threshold, etc.; after the region growing is completed, some processing operations can be performed, such as removing boundary noise or holes, smoothing the boundary, or further optimizing the generated three-dimensional model, etc. The first and second three-dimensional models of the tumor are reconstructed layer by layer through the mask. The working principle of the 3D livewire semi-automatic image segmentation algorithm is similar to that of the magnetic lasso in Photoshop. Specifically, the user selects pixel points in the two-dimensional image in the tumor region (generally the tumor edge) as seed points, and these seed points define the start of the path; by using the gradient algorithm of the image, the edge information of the image is calculated; according to the seed points selected by the user, a dynamic programming algorithm is used to find an optimal path from the starting point to the target region. During the path search process, the gradient direction and intensity of each node are used to calculate the cost of the path; for each image node, calculate its cumulative cost to the starting point; the cumulative cost is calculated by the sum of the cost of the previous node and the cost of the current node, and the distance between nodes is considered; the path with the lowest cumulative cost is calculated through the dynamic programming algorithm, and this path is the segmentation path; according to the optimal path, the image is segmented.
[0054] In this embodiment, by adopting the multi-modal imaging three-dimensional fusion reconstruction technology to construct a three-dimensional model, the advantages of CT and MRI are fully utilized to comprehensively, stereoscopically and intuitively evaluate the spatial positional relationship between the tumors in the pterygopalatine fossa and the infratemporal fossa and the maxillary artery and the internal carotid artery from the perspective of the surgeon, so as to provide ideas for the clinical doctor to accurately control the blood vessels during the operation, with the expectation of achieving minimally invasive and bloodless operation and improving the operation quality.
[0055] In some embodiments, before importing the tumor imaging into the Mimics Medical 17 software, it includes:
[0056] Excluding the imaging in which the bone structure in the tumor imaging shows a partially defective state after the operation.
[0057] In this embodiment, the accuracy of generating masks and 3D modeling in Mimics Medical 17 software is improved.
[0058] In some embodiments, generating the third mask includes:
[0059] Based on the horizontal, coronal, and sagittal positions of the tumor region on the CT image and / or MRI image, using the 3D livewire semi-automatic image segmentation algorithm, segment and label the tumor region along the tumor boundary of the CT image and / or MRI image to generate the third mask.
[0060] Specifically, the anatomical landmark points include: bony landmark points, large blood vessel bifurcation points.
[0061] In this embodiment, using multi-modal images for segmenting and labeling the tumor region improves the accuracy of generating the third mask.
[0062] In some embodiments, fusing the tumor images to obtain a fused image includes:
[0063] Import the CT, MRI, CTA, or MRA images in the tumor images into Mimics Medical 17 software to obtain imported images;
[0064] Align the imported images until all the imported images have the same reference coordinate system;
[0065] In different imported images, select 2 anatomical landmark points from the sagittal, coronal, and horizontal positions respectively, pair the anatomical landmark points of different imported images until the anatomical landmark points in different imported images have the same size, position, and orientation;
[0066] Use the fusion algorithm of Mimics Medical 17 to merge the pixel values of different imported images to generate a fused image.
[0067] In this embodiment, using multi-modal images for precise fusion improves the accuracy of the fused image, which is beneficial to more precisely fuse the masks and construct a fused model.
[0068] In some embodiments, it further includes:
[0069] Calibrate and adjust the fused image and the fused model.
[0070] During specific implementation, calibrate and adjust the fused image and the fusion model, where the success criterion for the fused image is good blood vessel overlap and no obvious ghosting at the edges. The success criterion for the 3D model fusion is that the vertebral artery completely passes through the transverse foramen of the cervical vertebra, and the internal carotid artery completely passes through the carotid canal of the skull base. Additionally, two senior physicians with rich surgical experience and endoscopic anatomy knowledge cross-check and verify the fused image and the fusion model.
[0071] In this embodiment, the accuracy of constructing the fusion model is improved.
[0072] In some embodiments, it includes:
[0073] Materialize the first 3D model, the second 3D model, and the fusion model by 3D printing.
[0074] In this embodiment, after materializing the model in 3D, the beneficial effects include: doctors and patients can more intuitively observe and understand the condition through the 3D solid model; based on the 3D solid model, doctors can perform surgical planning and prediction, evaluate the feasibility of the surgery, select appropriate instruments and surgical paths; the 3D solid model can be used as a medical education and training tool to help medical students and medical staff learn anatomical structures and surgical operation techniques, making up for the deficiencies of traditional textbooks and 2D images; according to the specific situation of the patient, 3D printing technology can be used to more precisely produce individualized tumor, blood vessel, and bone models, providing a more accurate basis for clinical decision-making and the formulation of surgical plans; doctors can use the 3D-printed tissue model for simulated surgical training, familiarize themselves with the surgical operation process, proficiently use instruments, improve surgical skills and reduce surgical risks; through 3D printing technology, medical devices and implants can be customized according to the individual differences of patients, improving the treatment effect and the quality of life of patients.
[0075] This application also provides a device for constructing a three-dimensional model of a tumor and blood vessels. Please refer to Figure 2 as shown, the device includes:
[0076] A data acquisition module 101, configured to acquire tumor images of the pterygopalatine fossa or the infratemporal fossa of a patient.
[0077] The mask generation module 102 is configured to import the tumor image into the Mimics Medical 17 software, and based on the region growing algorithm of the Mimics Medical 17 software, generate a first mask for the skull region from the CT image in the tumor image, and generate a second mask for the maxillary artery or internal carotid artery region from the CTA or MRA image in the tumor image; use the 3D livewire semi-automatic image segmentation algorithm to segment and label the tumor region along the tumor boundary in the tumor image to generate a third mask; fuse the tumor image to obtain a fused image; based on the fused image, use the fusion algorithm of Mimics Medical 17 to fuse the first mask, the second mask, and the third mask to generate a fused mask.
[0078] The model creation module 103 is configured to generate a first three-dimensional model including the skull and blood vessels based on the first mask and the second mask; generate a second three-dimensional model including the tumor based on the third mask; based on the fused mask, fuse the first three-dimensional model and the second three-dimensional model to obtain a fused model.
[0079] In some embodiments, the tumor and blood vessel three-dimensional model construction device further includes:
[0080] The image fusion module is configured to import the CT, MRI, CTA, or MRA images in the tumor image into the Mimics Medical 17 software to obtain imported images; align the imported images until all the imported images have the same reference coordinate system; in different imported images, select 2 anatomical landmark points from the sagittal, coronal, and horizontal positions respectively, pair the anatomical landmark points of different imported images until the anatomical landmark points in different imported images have the same size, position, and orientation; use the fusion algorithm of Mimics Medical 17 to merge the pixel values of different imported images to generate a fused image.
[0081] The present application also provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the tumor and blood vessel three-dimensional model construction method as described in any of the above embodiments are implemented.
[0082] The present application also provides a computer-readable storage medium, on which a program is stored. Herein, the computer-readable storage medium refers to a carrier for storing data, which may include, but is not limited to, floppy disks, optical discs, hard disks, flash memories, USB flash drives, and / or memory sticks, etc. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. For the working process, working details, and technical effects of the computer-readable storage medium provided in this embodiment, reference may be made to the embodiments of a method for constructing a three-dimensional model of a tumor and blood vessels in the foregoing text, which will not be elaborated herein.
[0083] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it may include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application may include non-volatile and / or volatile memories. Non-volatile memories may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM).
[0084] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification. The above-described embodiments merely represent several implementation manners of the present application. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.
Claims
1. A method for constructing a three-dimensional model of a tumor and blood vessels, characterized in that, Comprising: Obtaining tumor images of the pterygopalatine fossa or the infratemporal fossa of a patient; Importing the tumor images into Mimics Medical 17 software, and based on the region growing algorithm of the Mimics Medical 17 software, generating a first mask of the skull region from the CT images in the tumor images, and generating a second mask of the maxillary artery or internal carotid artery region from the CTA or MRA images in the tumor images; Generating a first three-dimensional model including the skull and blood vessels based on the first mask and the second mask; Using the 3D livewire semi-automatic image segmentation algorithm to segment and label the tumor region along the tumor boundary in the tumor images, Generating a third mask; Generating a second three-dimensional model including the tumor based on the third mask; Fusing the tumor images to obtain a fused image; Based on the fused image, using the fusion algorithm of Mimics Medical 17 to fuse the first mask, the second mask and the third mask to generate a fused mask; Based on the fused mask, fusing the first three-dimensional model and the second three-dimensional model to obtain a fused model.
2. The method for constructing a three-dimensional model of a tumor and blood vessels according to claim 1, wherein Before importing the tumor images into Mimics Medical 17 software, comprising: Excluding the images in which the bone structure shows a partially defective state after surgery in the tumor images.
3. The method for constructing a three-dimensional model of a tumor and blood vessels according to claim 1, wherein Generating the third mask, comprising: Based on the horizontal, coronal and sagittal positions of the tumor region on the CT images and / or MRI images, using the 3D livewire semi-automatic image segmentation algorithm to segment and label the tumor region along the tumor boundary of the CT images and / or MRI images, and generating a third mask.
4. The method for constructing a three-dimensional model of a tumor and blood vessels according to claim 1, wherein The fusing the tumor images to obtain a fused image, comprising: Importing the CT, MRI, CTA or MRA images in the tumor images into Mimics Medical 17 software to obtain imported images; Aligning the imported images until all the imported images have the same reference coordinate system; In different imported images, selecting 2 anatomical landmark points from the sagittal, coronal and horizontal positions respectively, pairing the anatomical landmark points of different imported images until the anatomical landmark points in different imported images have the same size, position and orientation; Using the fusion algorithm of Mimics Medical 17 to merge the pixel values of different imported images to generate a fused image.
5. The method for constructing a three-dimensional model of a tumor and blood vessels according to claim 4, wherein Comprising: Calibrating and adjusting the fused image and the fused model.
6. The method for constructing a three-dimensional model of a tumor and blood vessels according to claim 1, wherein Comprising: Materializing the first three-dimensional model, the second three-dimensional model and the fused model by 3D printing method.
7. A three-dimensional model construction device for tumors and blood vessels, characterized in that, Comprising: A data acquisition module for obtaining tumor images of the pterygopalatine fossa or the infratemporal fossa of a patient; A mask generation module is configured to import the tumor image into the Mimics Medical 17 software, and based on the region growing algorithm of the Mimics Medical 17 software, generate a first mask for the skull region from the CT image in the tumor image, and generate a second mask for the maxillary artery or internal carotid artery region from the CTA or MRA image in the tumor image; use the 3D livewire semi-automatic image segmentation algorithm to segment and label the tumor region along the tumor boundary in the tumor image to generate a third mask; fuse the tumor image to obtain a fused image; based on the fused image, use the fusion algorithm of Mimics Medical 17 to fuse the first mask, the second mask and the third mask to generate a fused mask. A model creation module is configured to generate a first three-dimensional model including the skull and blood vessels based on the first mask and the second mask; generate a second three-dimensional model including the tumor based on the third mask; based on the fused mask, fuse the first three-dimensional model and the second three-dimensional model to obtain a fused model.
8. The tumor and blood vessel three-dimensional model construction device according to claim 7, wherein It further includes: An image fusion module is configured to import the CT, MRI, CTA or MRA images in the tumor image into the Mimics Medical 17 software to obtain imported images; align the imported images until all the imported images have the same reference coordinate system; in different imported images, select 2 anatomical landmark points from the sagittal, coronal and horizontal planes respectively, pair the anatomical landmark points of different imported images until the anatomical landmark points in different imported images have the same size, position and orientation; use the fusion algorithm of Mimics Medical 17 to merge the pixel values of different imported images to generate a fused image.
9. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the tumor and blood vessel three-dimensional model construction method according to any one of claims 1 to 6.
10. A computer-readable storage medium, characterized in that, A program is stored on the computer-readable storage medium, and when the program is executed by the processor, it implements the tumor and blood vessel three-dimensional model construction method according to any one of claims 1 to 6.
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