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arXiv · 1610.00321

Low-dose CT denoising with convolutional neural network

Hu Chen·Yi Zhang·Weihua Zhang·Peixi Liao·Ke Li·Jiliu Zhou·Ge Wang
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Abstract

To reduce the potential radiation risk, low-dose CT has attracted much attention. However, simply lowering the radiation dose will lead to significant deterioration of the image quality. In this paper, we propose a noise reduction method for low-dose CT via deep neural network without accessing original projection data. A deep convolutional neural network is trained to transform low-dose CT images towards normal-dose CT images, patch by patch. Visual and quantitative evaluation demonstrates a competing performance of the proposed method.

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Hu Chen, Yi Zhang, Weihua Zhang, Peixi Liao, Ke Li, Jiliu Zhou, Ge Wang. 2016-10-02. Low-dose CT denoising with convolutional neural network. https://arxiv.org/abs/1610.00321

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