US 12,409,341 B2
Methods and systems for dose distribution prediction
Kejun Zhao, Shanghai (CN); Runxin Liu, Shanghai (CN); Shuo Liu, Shanghai (CN); and Binghuan Li, Shanghai (CN)
Assigned to SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed by SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed on Jun. 30, 2023, as Appl. No. 18/346,170.
Claims priority of application No. 202210758229.6 (CN), filed on Jun. 30, 2022; and application No. 202211207339.X (CN), filed on Sep. 30, 2022.
Prior Publication US 2024/0001149 A1, Jan. 4, 2024
Int. Cl. A61N 5/10 (2006.01); G16H 20/40 (2018.01)
CPC A61N 5/1038 (2013.01) [A61N 5/1039 (2013.01); G16H 20/40 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A method for dose distribution prediction implemented on a computing device having at least one processor and at least one storage device, the method comprising:
obtaining historical state information and current state information of a target subject, the current state information reflecting the state of the target subject in a current treatment fraction, and the historical state information reflecting the state of the target subject prior to the current treatment fraction;
determining a feature parameter of at least one optimization target with respect to the current treatment fraction;
predicting a current dose distribution to be used in the current treatment fraction based on at least part of the historical state information, the current state information, and the feature parameter of the at least one optimization target using a dose prediction model, the dose prediction model being a trained machine learning model.