English(EN) Physics-Driven Independent Pair Generation for Iterative Self-Supervised Low-Dose CT Denoising

新的物理驱动方法增强了低剂量CT去噪

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 04:00

研究人员开发了一种新颖的物理驱动框架，用于自监督低剂量计算机断层扫描（LDCT）去噪。该方法显式地模拟了LDCT测量中固有的混合泊松-高斯噪声，这是许多现有自监督技术的局限性。该框架分离噪声分量，通过不同的稀疏化操作处理它们以创建独立的噪声实现，并使用这些来实现图像域网络的训练。在模拟和真实的LDCT数据上的实验表明，与当前的自监督方法相比，该方法有了显著的改进，其性能与监督方法相当。 AI

排序理由该集群包含一篇在arXiv上发表的研究论文，详细介绍了一种新的医学图像处理方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Xianlei Han, Shaoyu Wang, Jiancheng Fang, Weiwen Wu, Qiegen Liu · 2026-09-03 04:00

面向迭代自监督低剂量CT去噪的物理驱动独立对生成

arXiv:2609.02654v1 Announce Type: new Abstract: Low-dose computed tomography (LDCT) measurements contain mixed Poisson-Gaussian noise. However, most self-supervised methods rely on generic image statistics and do not explicitly model this noise, which may limit their ability to e…

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面向迭代自监督低剂量CT去噪的物理驱动独立对生成

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