Methods for user adaptive radiation therapy planning and systems using the same
AssigneeThe Regents of the University of California
InventorKe Sheng
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Abstract
The present disclosure provides methods for user adaptive radiation therapy planning and a system for using the same. In some aspect, method for generating a radiation therapy plan is provided. The method includes receiving imaging information acquired from a patient and producing a preliminary radiation therapy plan, using a treatment planning system, based on the imaging information. The method also includes generating an indication for modifying the preliminary radiation therapy plan in accordance with a predetermined clinician profile, wherein the predetermined clinician profile is based on a trained learning machine. The method further includes producing, using the indication, an updated radiation therapy plan that is adapted to the predetermined clinician profile.
Claims22
A method for generating a radiation therapy plan, the method comprising:
- receiving imaging information acquired from a patient;
- producing a preliminary radiation therapy plan, using a treatment planning system, based on the imaging information;
- generating an indication for modifying the preliminary radiation therapy plan in accordance with a predetermined clinician profile, wherein the predetermined clinician profile is based on a trained learning machine;
- and
- producing, using the indication, an updated radiation therapy plan that is adapted to the predetermined clinician profile.
A method for generating a trained learning machine for use in radiation treatment planning, the method comprising:
- receiving a preliminary radiation therapy plan for treating a patient using radiation;
- generating, based on clinical objectives, a modified radiation therapy plan using the preliminary radiation therapy plan;
- determining deviations between the preliminary radiation therapy plan and the modified radiation therapy plan;
- and
- utilizing the deviations in a machine learning process to generate a trained learning machine.
A system for radiation therapy, the system comprising:
- an input configured to receive feedback from a user;
- a machine learning engine configured to:
- receive a preliminary radiation therapy plan;
- generate, based on the preliminary radiation therapy plan, an updated radiation therapy plan using feedback from the user;
- determine deviations between the preliminary radiation therapy plan and the updated radiation therapy plan;
- apply the deviations in a machine learning process to generate a trained learning machine;
- and
- generate a user profile corresponding to the trained learning machine;
- and
- an output for providing a report in accordance with the user profile.
Dependencies are inferred from the claim text.