Using RegGAN to generate synthetic CT images from CBCT images acquired with different linear accelerators.

Zhenkai Li,Qingxian Zhang,Haodong Li,Lingke Kong, Huadong Wang, Benzhe Liang,Mingming Chen,Xiaohang Qin,Yong Yin,Zhenjiang Li

BMC cancer（2023）

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摘要

The sCT images generated by the RegGAN model had high image quality, and the RegGAN model exhibited a strong generalization ability across different accelerators, enabling its outputs to be used as reference images for performing adaptive radiation therapy on the head and neck.

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关键词

Radiotherapy,Deep learning,CBCT,sCT,RegGAN

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