Channel-wise attention enhanced and structural similarity constrained cycleGAN for effective synthetic CT generation from head and neck MRI images

Channel-wise attention enhanced and structural similarity constrained cycleGAN for effective synthetic CT generation from head and neck MRI images

Abstract Background Magnetic resonance imaging (MRI) plays an increasingly important role in radiotherapy, enhancing the accuracy of target and organs at risk delineation, but the absence of electron density information limits its further clinical application. Therefore, the aim of this study is to...

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Bibliographic Details
Main Authors: Changfei Gong, Yuling Huang, Mingming Luo, Shunxiang Cao, Xiaochang Gong, Shenggou Ding, Xingxing Yuan, Wenheng Zheng, Yun Zhang
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Radiation Oncology
Subjects:
Unsupervised network
MR-to-CT synthesis
Nasopharyngeal carcinoma
CycleGAN
Volumetric-modulated arc radiotherapy
Online Access:https://doi.org/10.1186/s13014-024-02429-2

Internet

https://doi.org/10.1186/s13014-024-02429-2

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