DEEP LEARNING BASED ISOCENTER POSITIONING AND FULLY AUTOMATED CARDIAC MR EXAM PLANNING

摘要

A computer-implemented method of performing deep learning based isocenter positioning includes acquiring a plurality of slabs covering an anatomical area of interest that comprises a patient's heart. For each slab, one or more deep learning models are used to determine a likelihood score for the slab indicating a probability that the slab includes at least a portion of the patient's heart. A center position of the patient's heart may then be determined based on the likelihood scores determined for the plurality of slabs.