Patent ID: 11964170
Assignee: BEIJING LINKING MEDICAL TECHNOLOGY CO., LTD.
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 13:
14. The standardized artificial intelligence automatic radiation therapy planning method according to claim 1, wherein said automatically delineating an ROI area of the medical image to acquire a geometric anatomical structure particularly comprises:
automatic identification and automatic delineation of normal organs: automatically identifying and delineating various normal organs of human body based on machine learning;
automatic identification and delineation of tumor site: delineating tumors in reverse if the whole body organs are able to be delineated; after delineation of organs at risk is completed, remaining part will be the tumor site; and the remaining part is automatically delineated using relationship between PTV expansion and GTV expansion acquired by machine learning;
said determining a radiation angle of radiation therapy according to the disease type information, the geometric anatomical structure and the prescription specifically comprises:
performing machine learning on the disease type information, the geometric anatomical structure and the prescription of historical cases, determining a radiation angle prediction model, and inputting the disease type information, the geometric anatomical structure and the prescription of a current case into the radiation angle prediction model to obtain a predicted radiation angle as the radiation angle of radiation therapy;
marking an organ weight of a planned target volume according to disease type, calculating a cumulative value of organ weights at all angles in a ray direction, merging adjacent angles that meet a preset weight threshold, and using the angles that meet the weight threshold as the radiation angle of radiation therapy; or
determining regions of interest, selecting at least one planned target volume and one organ at risk, and performing full-angle radiation projection for each region of interest;
calculating a minimum bounding rectangle over the planned target volume at each angle of each segmented angle, and calculating an intersection between a minimum bounding rectangle of a certain organ at risk at the angle and the corresponding minimum bounding rectangle to obtain an intersection area; summing intersection areas of all segmented angles, taking the smallest sum as an objective function, and using a nonlinear integer optimization algorithm for solution to obtain an optimal segment index and an optimal angle index to serve as the radiation angle of radiation therapy.