A deep learning algorithm to generate synthetic computed tomography images for brain treatments from 0.35 T magnetic resonance imaging

Background and Purpose: The development of Magnetic Resonance Imaging (MRI)-only Radiotherapy (RT) represents a significant advancement in the field. This study introduces a Deep Learning (DL) algorithm designed to quickly generate synthetic CT (sCT) images from low-field MR images in the brain, an...

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Detalhes bibliográficos

Principais autores:	Luca Vellini, Flaviovincenzo Quaranta, Sebastiano Menna, Elisa Pilloni, Francesco Catucci, Jacopo Lenkowicz, Claudio Votta, Michele Aquilano, Andrea D’Aviero, Martina Iezzi, Francesco Preziosi, Alessia Re, Althea Boschetti, Danila Piccari, Antonio Piras, Carmela Di Dio, Alessandro Bombini, Gian Carlo Mattiucci, Davide Cusumano
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-01-01
coleção:	Physics and Imaging in Radiation Oncology
Assuntos:	Artificial intelligence Synthetic CT MRI-only workflow GAN
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2405631625000132
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