Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning

Background and Purpose: Addressing the need for accurate dose calculation in MRI-only radiotherapy, the generation of synthetic Computed Tomography (sCT) from MRI has emerged. Deep learning (DL) techniques, have shown promising results in achieving high sCT accuracies. However, existing sCT synthesi...

Full description

Bibliographic Details

Published in:	Physics and Imaging in Radiation Oncology
Main Authors:	Blanche Texier, Cédric Hémon, Pauline Lekieffre, Emma Collot, Safaa Tahri, Hilda Chourak, Jason Dowling, Peter Greer, Igor Bessieres, Oscar Acosta, Adrien Boue-Rafle, Jennifer Le Guevelou, Renaud de Crevoisier, Caroline Lafond, Joël Castelli, Anaïs Barateau, Jean-Claude Nunes
Format:	Article
Language:	English
Published:	Elsevier 2023-10-01
Subjects:	Radiotherapy treatment planning Synthetic-CT Magnetic resonance imaging cycle-GAN Multicenter
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405631623001021