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完全最小二乘下的康普顿散射图像重建
引用本文:王加俊,黄贤武,仲兴荣. 完全最小二乘下的康普顿散射图像重建[J]. 仪器仪表学报, 2004, 25(2): 164-167
作者姓名:王加俊  黄贤武  仲兴荣
作者单位:苏州大学电子信息学院,苏州,215021
基金项目:江苏省青年基金(编号:BQ2000011)资助项目.
摘    要:由康普顿散射能谱重建密度图像的问题是一个非线性的逆问题 ,这给重建带来很大困难。解决问题的一种方法是结合透射测量所得的衰减系数用以消除问题的非线性。但是 ,用这种方法所得到的投影矩阵却存在误差。为了减小这种误差对重建结果的影响 ,提出用完全最小二乘法来重建康普顿散射图像。数值模拟实验证明 ,这种方法极大地改善了重建图像的质量。

关 键 词:康普顿散射  图像重建  完全最小二乘
修稿时间:2002-05-01

Total Least Square Reconstruction of Compton Scattering Image
Wang Jiajun Huang Xianwu Zhong Xingrong. Total Least Square Reconstruction of Compton Scattering Image[J]. Chinese Journal of Scientific Instrument, 2004, 25(2): 164-167
Authors:Wang Jiajun Huang Xianwu Zhong Xingrong
Abstract:The reconstruction of density images from Compton scattered energy spectral data is a nonlinear inverse problem. The non-linearity brings serious problems in the reconstruction. One of the method eliminating the non-linearity is to combine the transmission CT for the determination of the attenuation coefficients. However, errors exist in the projection matrix determined in this way. In order to reduce the erroneous effects on the reconstruction results, the total least square algorithm is proposed for the reconstruction.Simulation results have proved that this reconstruction method improved greatly the reconstruction results.
Keywords:Compton scattering Image Reconstruction Total least square
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