计算机科学
迭代重建
人工智能
投影(关系代数)
算法
作者
Yizhong Wang,Ningning Liang,Shaoyu Wang,Jie Guo,Xinrui Zhang,Zhizhong Zheng,Ailong Cai,Lei Li,Bin Yan
摘要
In this work, we propose the NeRDiff method for highly ill-defined spectral CT reconstruction tasks. We have conducted a series of experiments in the ultra-sparse-view reconstruction task, and the experimental results consistently demonstrate the remarkable capabilities of NeRDiff in terms of anti-artifact performance and detail preservation.
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