MRI-based treatment planning for liver stereotactic body radiotherapy: validation of a deep learning-based synthetic CT generation method

OBJECTIVE: The purpose of this work is to develop and validate a learning-based method to derive electron density from routine anatomical MRI for potential MRI-based SBRT treatment planning. METHODS: We proposed to integrate dense block into cycle generative adversarial network (GAN) to effectively...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Br J Radiol
Κύριοι συγγραφείς: Liu, Yingzi, Lei, Yang, Wang, Tonghe, Kayode, Oluwatosin, Tian, Sibo, Liu, Tian, Patel, Pretesh, Curran, Walter J., Ren, Lei, Yang, Xiaofeng
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: The British Institute of Radiology. 2019
Θέματα:
Full Paper
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6724629/
https://ncbi.nlm.nih.gov/pubmed/31192695
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjr.20190067
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