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English(EN) Quantum Compressed Sensing CT Reconstruction Algorithm Based on Penalized Weighted Least Squares and Guided Total Variation

量子CT重建算法提升图像质量

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新颖的量子压缩感知CT重建算法，通过考虑光子计数统计和解剖学异质性来提高图像质量。所提出的PWLS-GTV方法结合了惩罚加权最小二乘（PWLS）和引导全变分（GTV），以增强边缘保持并减少噪声。实验表明，PWLS-GTV的性能显著优于传统方法，在重建中实现了更高的峰值信噪比。 AI

排序理由 该集群包含一篇详细介绍计算断层扫描重建新算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.4]

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量子CT重建算法提升图像质量

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该集群包含一篇详细介绍计算断层扫描重建新算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yuwen Zhang, Yujie Liu, Ao Wang, Yikuang Yuluo, Shuangyang Zhong, Haijun Yu, Yixing Huang ·

    基于惩罚加权最小二乘和引导全变分的量子压缩感知CT重建算法

    arXiv:2607.10566v1 Announce Type: new Abstract: Objective. Existing quadratic unconstrained binary optimization (QUBO)-based sparse-view computed tomography (CT) reconstruction neglects photon-counting statistics and anatomical heterogeneity. We address both limitations within th…

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