Noise-Generating-Mechanism-Driven Unsupervised Learning for Low-Dose CT Sinogram Recovery

Dong Zeng,Lei Wang,Mingrui Geng,Sui Li,Yun Deng,Qi Xie,Danyang Li,Hua Zhang,Yuanqing Li,Zongben Xu,Deyu Meng,Jianhua Ma

IEEE Transactions on Radiation and Plasma Medical Sciences（2022）

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摘要

Deep learning (DL) techniques have expedited successful applications in computed tomography (CT) imaging field and have obtained remarkable outcomes. Most of the techniques require the precollection of large numbers of low-dose/high-dose CT image pairs and the training of the network in a supervised end-to-end manner. However, there are some evident limitations to such a supervised learning manner...

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关键词

Computed tomography,Image reconstruction,Training,Reconstruction algorithms,Task analysis,Noise measurement,Data models

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