SYSTEM AND METHOD FOR RESPIRATION-GATED RADIOTHERAPY EVALUATION USING MACHINE LEARNING

摘要

An embodiment of the present invention is a signal acquisition unit for obtaining a first beam signal including a first respiration signal and radiation irradiation information during respiratory interlocking radiation treatment from a radiation treatment system, the obtained first respiration signal and the second A second respiration signal and a second beam signal obtained by a learning unit and the signal acquisition unit for machine learning a respiration-linked radiation therapy evaluation model based on a 1 beam signal, and the respiration-linked radiation therapy evaluation model to the patient based on the evaluation model It provides a respiratory-linked radiation therapy evaluation system using machine learning, including a determination unit for determining whether or not the respiratory-linked radiation therapy is suitable for the patient.