Diffusion probabilistic priors for zero‐shot low‐dose CT image denoising
Medical Physics2024Vol. 52(1), pp. 329–345
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Abstract
We propose a novel low-dose CT image denoising method based on diffusion model. Our proposed method only requires normal-dose CT images as training data, greatly alleviating the data scarcity issue faced by most deep learning-based methods. At the same time, as an unsupervised algorithm, our method achieves very good qualitative and quantitative results. The Codes are available in https://github.com/DeepXuan/Dn-Dp.