VR operation simulation system based on human organ 3D model and method
A technology for surgical simulation and human organs, applied in the field of medical image processing, can solve the problems of inability to achieve preoperative simulation resection and surgical risk assessment, and inability to achieve organ segmentation, so as to improve surgical skills and proficiency, increase authenticity, Difficulty-reducing effect
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Embodiment 1
[0042] refer to figure 1 As shown, the present invention discloses a VR surgery simulation system based on a 3D model of human organs, including a CT data import unit 10, a CT image segmentation unit 20, a three-dimensional modeling unit 30 and a VR surgery simulation unit 40, wherein:
[0043] The CT data import unit 10 is used for importing CT data, and the CT data includes CT images, patient information, hospital information, CT machine model information and CT slice accuracy information. The CT data importing unit 10 has a CT data preview module and a CT image preprocessing module, the CT data preview module is used to view relevant content of the CT data, and the CT image preprocessing module is used to judge whether the CT image is inverted, and the inverted CT image Adjust to the correct orientation.
[0044] The CT image segmentation unit 20 is used to segment soft tissue organs, tumors, blood vessels and hard tissues on the CT image, which includes a soft tissue orga...
Embodiment 2
[0048] The present invention discloses a VR surgery simulation method based on a 3D model of human organs, which is implemented based on the VR surgery simulation system of Embodiment 1. The method includes the following steps:
[0049] S1. Using the CT data import unit 10 to import CT data.
[0050] S2. Using the CT image segmentation unit 20 to segment soft tissue organs, tumors, blood vessels and hard tissues on the CT image, and segment the soft tissue organs according to the blood vessels. This step is achieved through the following sub-steps:
[0051] S21. Segmentation of soft tissue organs, selecting positions of soft tissue organs on the CT image through human-computer interaction, and automatically segmenting soft tissue organs. The position of the soft tissue organ on the CT image is selected by placing seed points through human-computer interaction, and the computer automatically segments the soft tissue organ. For large soft tissue organs, the position of the soft...
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