Intelligent optimization method of tumour radiotherapy plan
A technology for treatment planning and tumor radiation, applied in the fields of biomedical engineering and radiobiology, it can solve the problems of low efficiency of clinical radiotherapy planning and difficulty in obtaining intensity-modulated radiotherapy plans.
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[0054] This embodiment shows a big data analysis (prior knowledge) based on tumor clinical radiotherapy planning and tumor CT, MRI, PET / CT, and (or) PET / MRI medical image intelligent analysis and processing, according to tumor biology, radiation biology Based on the characteristics information of science and radiophysics, through multi-objective, intelligent and automatic optimization calculation method, the adaptive, bio-intensity modulated, multi-objective optimized tumor clinical precise radiotherapy plan is determined.
[0055] Specifically include the following steps:
[0056] 1-1) Intelligent delineation of tumor biological target area, biological sub-target area and fusion target area: according to multi-modal fusion image information such as tumor PET, CT, MRI, etc., outline the tumor biological target area through intelligent and automatic image analysis and processing methods , biological sub-target area and fusion target area;
[0057] 1-2) Calculation of optimal p...
Embodiment approach
[0059] In step 1-1), an implementation scheme for the intelligent delineation of tumor biological target areas and sub-target areas with different biological characteristics is as follows:
[0060] During the implementation of the examples of the present invention, according to the tumor PET and CT images and their various molecular biology and physical texture characteristics, the biological target area and sub-target area are used to intelligently outline the multi-layer Mumford-Shah vector image segmentation model, through the tumor PET SUV and its contrast The vector image composed of , frequency, level set method is used to iteratively segment the image layer by layer, and the tumor biological target area and its sub-target areas with different biological characteristics are automatically delineated. Specific steps are as follows:
[0061] 2-1) According to the tumor PET SUV image, the adaptive three-dimensional region growing method is used to determine the high tracer u...
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