Abstract: A standardized artificial intelligence automatic radiotherapy planning method includes 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, and determining a radiation angle of radiation therapy; obtaining a radiation therapy dose distribution result using a dose prediction model; 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.

Abstract: The present disclosure discloses a standardized artificial intelligence automatic radiotherapy planning method and system, wherein the radiation therapy planning method includes: 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, and determining a radiation angle of radiation therapy; obtaining a radiation therapy dose distribution result using a dose prediction model; 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.

Abstract: The present invention relates to the technical field of cloud computing and relates to a standardized cloud radiotherapy planning method, a storage medium, and a system. The method comprises the following steps: (1) patient data is uploaded to a master cloud server (S210), where the patient data comprises a patient image and medical order data; (2) a target area is delineated on the basis of the patient image (S220); (3) the master cloud server assigns a computation task to a controlled computer, the controlled computer uses a standard radiotherapy equipment mode to compute a radiotherapy plan for a patient, thus generating a standard radiotherapy plan (S230); and, (4) a specific radiotherapy plan matching specific radiotherapy equipment is generated on the basis of the standard radiotherapy plan.