Multi‐sequence MR image‐based synthetic CT generation using a generative adversarial network for head and neck MRI‐only radiotherapy
Medical Physics2020Vol. 47(4), pp. 1880–1894
Citations Over TimeTop 1% of 2020 papers
Mengke Qi, Yongbao Li, Aiqian Wu, Qiyuan Jia, Bin Li, Wenzhao Sun, Zhenhui Dai, Xingyu Lu, Linghong Zhou, Xiaowu Deng, Ting Song
Abstract
Conditional generative adversarial network with multiple MR sequences as model input shows the best accuracy. The T1-weighted MR images provide sufficient image information and are suitable for sCT prediction in clinical scenarios with limited acquisition sequences or limited acquisition time.
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