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Multi-Sequence Fusion Network via Single- Sequence CycleGANs for Improved Synthetic CT in Nasopharyngeal Carcinoma Treatment Planning

To investigate the effect of different MR sequences on the accuracy of Cycle-consistent Generative Adversarial Network (CycleGAN) based synthetic CT (sCT) generation in nasopharyngeal carcinoma (NPC). In this work, three sequences of MR, included T1-weighted imaging (T1WI), T2-weighted imaging (T2WI...

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Hoofdauteurs: Yimei Liu, Meining Chen, Jun Zhang, Yixuan Wang, Huikuan Gu, Chong Zhao, Zhenyu Qi, Xiaowu Deng, Shuyu Wu, Yinglin Peng
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2024-01-01
Reeks:IEEE Access
Onderwerpen:
Synthetic CT
multiple MR sequence
MRI guided radiotherapy
cycle-consistent generative adversarial network
nasopharyngeal carcinoma
Online toegang:https://ieeexplore.ieee.org/document/10531283/
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