English(EN) Dose-Aware Cold Diffusion with Physics Consistency for Generalizable Low-Dose CT Reconstruction

新的DACD框架增强了低剂量CT扫描重建

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-17 04:00

研究人员开发了一个名为剂量感知冷扩散（DACD）的新框架，以提高低剂量CT扫描的质量。该方法将辐射剂量显式地建模为冷扩散过程中的连续因子，整合了剂量感知和结构先验提取。DACD还包含一个迭代校正以确保数据一致性。在Mayo-2020、Mayo-2016和LoDoPaB-CT等公共数据集上的实验表明，DACD在超低剂量下表现优于现有方法，并且在各种剂量水平上具有良好的泛化能力。 AI

影响提高了医学影像的图像重建质量，可能导致更安全的诊断程序。

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Md Imam Ahasan, Guangchao Yang, A F M Abdun Noor, S M Hasan Mahmud, Md Mahfuzur Rahman · 2026-09-17 04:00

面向可泛化低剂量CT重建的具有物理一致性的剂量感知冷扩散

arXiv:2609.18943v1 Announce Type: cross Abstract: Reducing radiation dose in computed tomography significantly degrades image quality and poses challenges for accurate and clinically reliable reconstruction. While recent approaches have shown promise for low-dose CT, they often s…

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面向可泛化低剂量CT重建的具有物理一致性的剂量感知冷扩散

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