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圆弧加直线轨迹Katsevich类型的锥束CT重建算法
引用本文:王瑜,陈亮,欧宗瑛,董彦磊,黄建龙.圆弧加直线轨迹Katsevich类型的锥束CT重建算法[J].电子科技大学学报(自然科学版),2013,42(5):794-799.
作者姓名:王瑜  陈亮  欧宗瑛  董彦磊  黄建龙
作者单位:1.电子科技大学机械电子工程学院 成都 611731;
基金项目:辽宁省高等学校科学研究青年基金(2004F057);中央高校基本科研业务费专项资金(ZYGX2012J097)
摘    要:由于圆与直线轨迹的交点处存在轨迹变量的偏导数,Katsevich算法直接忽略了关于构造因子的分析,从而对后续重建计算产生影响,导致重建结果出现伪像。通过对该问题进行研究,确定轨迹交点处的构造因子,并推导出在平板检测器下与两段轨迹相对应的重建公式。据此引申出一个不含有关于轨迹变量偏导的等价公式,从而计算出轨迹交点处相应的重建贡献值。同时,提出使用光滑过渡函数改善因反投影区域边界的不连续性而对重建结果产生的影响。利用Forbild头模型进行仿真模拟,实验结果表明,改进的算法有效地抑制了重建结果的伪像。

关 键 词:计算机断层成像    锥束重建    滤波反投影    Katsevich重建算法
收稿时间:2011-12-25

Cone-Beam CT Reconstruction of Katsevich-Type Algorithm for Orthogonal Arc-and-Line Trajectory
Affiliation:1.School of Mechatronics Engineering,University of Electronic Science and Technology of China Chengdu 611731;2.Key Laboratory for Precision and Non-Traditional Machining Technology of Ministry of Education,Dalian University of Technology Dalian Liaoning 116024
Abstract:Because Katsevich algorithm includes the partial derivative with respect to the variable of trajectory, the analysis of structure factor and subsequent computation of reconstruction are ignored at the intersection point of two source orbits consisting of a circle and orthogonal lines, which may induce artifacts in the reconstructed image. This paper investigates the Katsevich algorithm for this geometry, determines the structure factor at the intersection point, and deduces the corresponding reconstruction formula about two source trajectories using the planar detector. As a result, an equivalence formula is achieved excluding the partial derivative with respect to the variable of trajectory and can be used to calculate the contribution of critical plane at the intersection point. In addition, a smooth transitional function is suggested to improve the discontinuity of contribution at the border of projection region defined by PI-lines. Computer simulations about Forbild phantom show a reduction of the artifacts that are found with the Katsevich algorithm and verify the validity of the proposed algorithm.
Keywords:
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