Magnetic Resonance-Based Synthetic Computed Tomography Using Generative Adversarial Networks for Intracranial Tumor Radiotherapy Treatment Planning

The purpose of this work is to develop a reliable deep-learning-based method that is capable of synthesizing needed CT from MRI for radiotherapy treatment planning. Simultaneously, we try to enhance the resolution of synthetic CT. We adopted pix2pix with a 3D framework, which is a conditional genera...

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Detalles Bibliográficos
Autores principales: Wang, Chun-Chieh, Wu, Pei-Huan, Lin, Gigin, Huang, Yen-Ling, Lin, Yu-Chun, Chang, Yi-Peng (Eve), Weng, Jun-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955512/
https://www.ncbi.nlm.nih.gov/pubmed/35330361
http://dx.doi.org/10.3390/jpm12030361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955512/
https://www.ncbi.nlm.nih.gov/pubmed/35330361
http://dx.doi.org/10.3390/jpm12030361

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