Radiotherapy plan simulation design method and system based on expansion and contraction theory
A technology for planning and emitting particles, applied in the field of virtual surgery, it 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 relieving the high dependence on experience, improving efficiency and improving efficiency.
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no. 1 example
[0020] figure 1 This is a schematic flowchart of a simulation design method for a radiotherapy plan based on the expansion-contraction theory according to the first embodiment of the present invention, as shown in the figure. figure 1 As shown, the method includes the following four steps.
[0021] Step S11: Mark the tumor target in the medical image. Specifically, the tumor target is marked in the medical image, a 3D image including the TV area and the OAR area of the tumor target is established, the 3D image is uniformly sampled, and the target point cloud data is obtained.
[0022] It should be noted that the target volume of TV (Target Volume) treatment is the clinical target volume of CTV (Clinical Target Volume), including the established tumor and potential invading tissue, GTV (Gross Tumor Volume) tumor area and surrounding subclinical areas. The lesions constitute CTV, and the purpose of radiation therapy is to kill tumor cells in the TV area. OAR (Organ At Risk)...
no. 2 example
[0030] figure 2 It is a schematic structural diagram of a radiotherapy plan simulation design system based on expansion and contraction theory according to an embodiment of the present invention, such as figure 2 As shown, the system includes: a computing device 100 and a 3D printing device 200 . 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 three-dimensional image including the TV area and the OAR area of the tumor target, uniformly samples the three-dimensional image, and obtains target point cloud data.
[0032] The plan generation module 102 is configured to set up a template including a needle entry point for radiotherapy, and any needle entry point is combined with any point in the target point cloud data to form a needle track, and a needle track sequence P is randomly generated, wh...
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