CPC A61N 5/1031 (2013.01) [A61N 5/1036 (2013.01); A61N 5/1039 (2013.01); A61N 5/1048 (2013.01); G16H 20/40 (2018.01); A61N 2005/1034 (2013.01); A61N 2005/1041 (2013.01)] | 20 Claims |
1. A standardized artificial intelligence automatic radiation therapy planning method, characterized in comprising:
acquiring a medical image;
automatically delineating an ROI area of the medical image to acquire a geometric anatomical structure;
determining a prescription according to disease type information corresponding to the medical image, the geometric anatomical structure, and a preset disease-prescription template library;
determining a radiation angle of radiation therapy according to the disease type information, the geometric anatomical structure and the prescription;
inputting the medical image, the geometric anatomical structure, the disease type information, the prescription and the radiation angle of radiation therapy into a dose prediction model to obtain a radiation dose distribution result;
performing optimization processing using a reverse optimization algorithm based on dose distribution or DVH guidance, with reference to the radiation dose distribution result, to generate executable radiation therapy plans; and
the executable radiation therapy plans include forward radiation therapy plans, stereotactic radiation therapy plans and intensity-modulated radiation therapy plans, wherein the intensity-modulated radiation therapy plans include dynamic intensity-modulated radiation therapy plans, static intensity-modulated radiation therapy plans, volume-intensity-modulated radiation therapy plans, and rotational intensity-modulated radiation therapy plans.
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