Development of a tracking error prediction system for the CyberKnife Synchrony Respiratory Tracking System with use of support vector regression.
Journal:
Medical & biological engineering & computing
PMID:
34655052
Abstract
PURPOSE: The accuracy of the CyberKnife Synchrony Respiratory Tracking System is dependent on the breathing pattern of a patient. Therefore, the tracking error in each patient must be determined. Support vector regression (SVR) can be used to easily identify the tracking error in each patient. This study aimed to develop a system with SVR that can predict tracking error according to a patient's respiratory waveform.