Analysis

R. Hedden
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引用次数: 0

Abstract

—A new method based on the Cavalieri condition for the Radon transform is developed to solve a problem of ROI tomography. This condition is used to construct a system of linear algebraic equations to estimate unknown projection data. Computational experiment has shown that the proposed method significantly improves the reconstruction accuracy, weakens artifacts, and provides an estimate of the internal structure of the object outside the region of interest
分析
提出了一种基于Radon变换的Cavalieri条件的新方法来解决ROI层析成像问题。利用这一条件构造了一个线性代数方程组来估计未知投影数据。计算实验表明,该方法显著提高了重建精度,减弱了伪影,并提供了对感兴趣区域外目标内部结构的估计
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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