Rapid estimation of patient-specific organ doses using a deep learning network.
Journal:
Medical physics
PMID:
36918360
Abstract
BACKGROUND: Patient-specific organ-dose estimation in diagnostic CT examinations can provide useful insights on individualized secondary cancer risks, protocol optimization, and patient management. Current dose estimation techniques mainly rely on time-consuming Monte Carlo methods or/and generalized anthropomorphic phantoms.