Generalized inverse reconstruction algorithm with threshold

Huaxiang Wang, Yongbo He, Chao Wang
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Abstract

In this paper, a method called the generalized inverse image reconstruction algorithm with threshold based on the Geselowitz sensitivity theorem is proposed, and the selection way of the regularization parameter is also presented. Both theoretical and experimental results show that this proposed algorithm can provide images superior to those obtained with filtered back-projection (FBP) and the sensitivity coefficient algorithm.
具有阈值的广义逆重构算法
本文提出了一种基于Geselowitz灵敏度定理的带阈值的广义逆图像重构算法,并给出了正则化参数的选择方法。理论和实验结果表明,该算法的图像质量优于滤波后反投影(FBP)和灵敏度系数算法。
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