Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives.

Cusumano, Davide; Boldrini, Luca; Dhont, Jennifer; Fiorino, Claudio; Green, Olga; Güngör, GORKEM; Jornet, Núria; Klüter, Sebastian; Landry, Guillaume; Mattiucci, Gian; Placidi, Lorenzo; Reynaert, Nick; Ruggieri, Ruggero; Tanadini-Lang, Stephanie; Thorwarth, Daniela; Yadav, Poonam; Yang, Yingli; Valentini, Vincenzo; Verellen, Dirk; Indovina, Luca

doi:10.1016/j.ejmp.2021.05.010

Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives.

Cusumano D., Boldrini L., Dhont J., Fiorino C., Green O., Güngör G. , ...More

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), vol.85, pp.175-191, 2021 (Journal Indexed in SCI)

Publication Type: Article / Article
Volume: 85
Publication Date: 2021
Doi Number: 10.1016/j.ejmp.2021.05.010
Title of Journal : Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Page Numbers: pp.175-191
Keywords: Artificial Intelligence, Deep learning, MR-guided Radiotherapy, Online Adaptive Radiotherapy, MR-Linac, CONVOLUTIONAL NEURAL-NETWORK, PATHOLOGICAL COMPLETE RESPONSE, ONLINE ADAPTIVE RADIOTHERAPY, REGRESSION INDEX ERITCP, SYNTHETIC CT GENERATION, RADIATION-THERAPY, QUALITY-ASSURANCE, AUTO-SEGMENTATION, PROSTATE-CANCER, TUMOR MOTION

Abstract

Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of Magnetic Resonance-guided RT (MRgRT) systems.