Deep learning‐based synthetic CT generation for MR‐only radiotherapy of prostate cancer patients with 0.35T MRI linear accelerator

PURPOSE: To develop a deep learning model to generate synthetic CT for MR‐only radiotherapy of prostate cancer patients treated with 0.35 T MRI linear accelerator. MATERIALS AND METHODS: A U‐NET convolutional neural network was developed to translate 0.35 T TRUFI MRI into electron density map using...

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Detalles Bibliográficos
Autores principales: Farjam, Reza, Nagar, Himanshu, Kathy Zhou, Xi, Ouellette, David, Chiara Formenti, Silvia, DeWyngaert, J. Keith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364266/
https://www.ncbi.nlm.nih.gov/pubmed/34184390
http://dx.doi.org/10.1002/acm2.13327

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364266/
https://www.ncbi.nlm.nih.gov/pubmed/34184390
http://dx.doi.org/10.1002/acm2.13327

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