Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning

The purpose of this work is to validate the application of a deep learning-based method for pelvic synthetic CT (sCT) generation that can be used for prostate proton beam therapy treatment planning. We propose to integrate dense block minimization into 3D cycle-consistent generative adversarial netw...

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Detalhes bibliográficos
Publicado no:Phys Med Biol
Main Authors: Liu, Yingzi, Lei, Yang, Wang, Yinan, Shafai-Erfani, Ghazal, Wang, Tonghe, Tian, Sibo, Patel, Pretesh, Jani, Ashesh B, McDonald, Mark, Curran, Walter J, Liu, Tian, Zhou, Jun, Yang, Xiaofeng
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7765705/
https://ncbi.nlm.nih.gov/pubmed/31487698
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab41af
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