A rebinning-type backprojection-filtration algorithm for region of interest reconstruction in fan-beam CT with improved noise properties

Lifeng Yu, D. Xia, Y. Zou, E. Sidky, Xiaochuan Pan, C. Pelizzari
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Abstract

We propose an alternative backprojection-filtration(BPF)-based reconstruction algorithm for fan-beam CT, which reconstructs images by first converting the fan-beam data to fan-parallel-beam data and then using a modified parallel-beam BPF algorithm to obtain the reconstruction. This proposed algorithm retains the properties of the original fan-beam BPF algorithm in that it can reconstruct exact region of interest (ROI) images from truncated data and/or super-short-scan data. The major advantage of this algorithm is its improved noise properties because of the elimination of the spatially-variant weighting factor. In addition, the proposed algorithm is computationally more efficient
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一种改进噪声特性的扇形波束CT感兴趣区域重建反投影滤波算法
本文提出了一种基于反投影滤波(BPF)的扇形波束CT重建算法,该算法首先将扇形波束数据转换为扇形平行波束数据,然后使用改进的平行波束BPF算法进行重建。该算法保留了原扇形波束BPF算法的特性,可以从截断的数据和/或超短扫描数据中重建精确的感兴趣区域(ROI)图像。该算法的主要优点是由于消除了空间变化的加权因子而改善了噪声特性。此外,该算法的计算效率更高
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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