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由相叠低分辨投影数据重建高分辨图像
引用本文:郭明焕,张朋.由相叠低分辨投影数据重建高分辨图像[J].CT理论与应用研究,2002,11(2):12-18.
作者姓名:郭明焕  张朋
作者单位:1. 西北大学数学系,陕西,710069
2. 北京信息工程学院应用数学研究室,北京,100101
基金项目:国家自然科学基金(No.69931010),教育部高等学校骨干教师资助计划资助
摘    要:本文提出了由平行的相叠低分辨投影数据重建高分辨图像的两个新算法,即虚拟探测器法和直接重建法,并给出和分析了数值模拟结果。

关 键 词:计算机层析成像  插值代数重建法  低分辨数据  高分辨图像
文章编号:1004-4140(2002)02-0012-07
修稿时间:2002年4月16日

Reconstructing High Resolution Image from Overlapped Low Resolution Projection Data
Abstract:The authors present two novel algorithms of reconstructing high resolution image from overlapped parallel projection data with low resolution. One is called virtual detector algorithm, and the other is direct reconstruction algorithm. Both of the algorithms are developed from the interpolative algebraic reconstruction technique (IART) contributed by E.J. Mazur and R. Gordon. The main assumption in the paper is that the linear array of detectors can shift along the line of the array with a step which is less than the width of the detectors, and the overlapped projection data can be collected by overlapped sampling. The simulation results show that high resolution images can be reconstructed by means of both algorithms from the overlapped projection data. Moreover, the quality of the image reconstructed by the virtual detector algorithm from the overlapped low resolution projection data is almost as good as that of the image reconstructed directly from the high projection data. Although the resolution of the image reconstructed by direct reconstruction algorithm is slight lower than that of the image reconstructed by the virtual detector algorithm, the direct reconstruction algorithm adapts to any kind of overlapped projection data.
Keywords:computed tomography  interpolative algebraic reconstruction technique  low resolution data  high resolution image
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