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Optimizing thoracic synthetic computed tomography generation from magnetic resonance imaging: the role of Fourier transform and other key factors

Background and purpose: Magnetic Resonance Imaging-only (MRI-only) workflows are an emerging strategy in radiotherapy, with artificial intelligence (AI) playing a central role in generating synthetic computed tomography (sCT) images. The thorax remains a particularly difficult region due to marked e...

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Principais autores: Alessandro Bombini, Luca Vellini, Flaviovincenzo Quaranta, Jacopo Lenkowicz, Sebastiano Menna, Elisa Pilloni, Francesco Catucci, Andrea D’Aviero, Claudio Votta, Giuditta Chiloiro, Martina Iezzi, Francesco Preziosi, Alessia Re, Althea Boschetti, Floranna Mauro, Sami Aburas, Lana Smiljanic, Antonio Piras, Carmela Di Dio, Lorenzo Placidi, Luca Boldrini, Maria Antonietta Gambacorta, Gian Carlo Mattiucci, Davide Cusumano
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2026-01-01
Serier:Physics and Imaging in Radiation Oncology
Fag:
Synthetic CT
AFNO
MRIgRT
GAN
Online adgang:http://www.sciencedirect.com/science/article/pii/S2405631625001988
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