Simulation design method and system for radiotherapy plan based on expansion contraction theory
A simulation design and planning technology, applied in the field of virtual surgery, can solve the problems of difficult to achieve dose distribution in radiotherapy planning and high dependence on the experience of physicists, and achieve the effect of alleviating the high dependence on experience, improving efficiency and improving efficiency.
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no. 1 example
[0020] figure 1 It is a schematic flowchart of a radiotherapy plan simulation design method based on expansion contraction theory in the first embodiment of the present invention, as shown in figure 1 As shown, the method includes the following four steps.
[0021] Step S11: Marking tumor targets in medical images. Specifically, the tumor target is marked in the medical image, the 3D image including the TV area and the OAR area of the tumor target is established, and the 3D image is evenly sampled to obtain the target point cloud data.
[0022] It should be noted that the TV (Target Volume) treatment target area is the CTV (Clinical Target Volume) clinical target area, including confirmed tumors and potential invaded tissues, and the GTV (Gross Tumor Volume) tumor area and surrounding subclinical areas. The lesion constitutes the CTV, and the purpose of radiation therapy is to kill the tumor cells in the TV area. OAR (Organ At Risk) refers to the normal organs around the ...
no. 2 example
[0030] figure 2 It is a schematic structural diagram of a radiotherapy planning simulation design system based on the expansion contraction theory in an embodiment of the present invention, as shown in figure 2 As shown, the system includes: a computing device 100 and a 3D printing device 200 , and the computing device 100 includes an image processing module 101 , a plan generation module 102 and a plan optimization module 103 .
[0031] The image processing module 101 marks the tumor target in the medical image, establishes a 3D image including the TV area and the OAR area of the tumor target, uniformly samples the 3D image, and acquires point cloud data of the target.
[0032] The plan generation module 102 is used to set a template containing the needle entry point for radiotherapy, any needle entry point and any point in the target point cloud data are combined into a needle track, and a needle track sequence P is randomly generated, and any two needle track sequences ...
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