Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy

BACKGROUND: Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head and neck (HN) cancer, these images are often insufficient for discriminating target volumes and organs at risk (OA...

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Detalles Bibliográficos
Autores principales: Wahid, Kareem A., Xu, Jiaofeng, El-Habashy, Dina, Khamis, Yomna, Abobakr, Moamen, McDonald, Brigid, O’ Connell, Nicolette, Thill, Daniel, Ahmed, Sara, Sharafi, Christina Setareh, Preston, Kathryn, Salzillo, Travis C., Mohamed, Abdallah S. R., He, Renjie, Cho, Nathan, Christodouleas, John, Fuller, Clifton D., Naser, Mohamed A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679225/
https://www.ncbi.nlm.nih.gov/pubmed/36425548
http://dx.doi.org/10.3389/fonc.2022.975902

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679225/
https://www.ncbi.nlm.nih.gov/pubmed/36425548
http://dx.doi.org/10.3389/fonc.2022.975902

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