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FDK-Type Algorithms with No Backprojection Weight for Circular and Helical Scan CT

机译:圆形和螺旋扫描CT的FDK型算法无反投影权重

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摘要

We develop two Feldkamp-type reconstruction algorithms with no backprojection weight for circular and helical trajectory with planar detector geometry. Advances in solid-state electronic detector technologies lend importance to CT systems with the equispaced linear array, the planar (flat panel) detectors, and the corresponding algorithms. We derive two exact Hilbert filtered backprojection (FBP) reconstruction algorithms with no backprojection weight for 2D fan-beam equispace linear array detector geometry (complement of the equi-angular curved array detector). Based on these algorithms, the Feldkamp-type algorithms with no backprojection weight for 3D reconstruction are developed using the standard heuristic extension of the divergent beam FBP algorithm. The simulation results show that the axial intensity drop in the reconstructed image using the FDK algorithms with no backprojection weight with circular trajectory is similar to that obtained by using Hu's and T-FDK, algorithms. Further, we present efficient algorithms to reduce the axial intensity drop encountered in the standard FDK reconstructions in circular cone-beam CT. The proposed algorithms consist of mainly two steps: reconstruction of the object using FDK algorithm with no backprojection weight and estimation of the missing term. The efficient algorithms are compared with the FDK algorithm, Hu's algorithm, T-FDK, and Zhu et al.'s algorithm in terms of axial intensity drop and noise. Simulation shows that the efficient algorithms give similar performance in axial intensity drop as that of Zhu et al.'s algorithm while one of the efficient algorithms outperforms Zhu et al.'s algorithm in terms of computational complexity.
机译:我们针对平面探测器几何形状的圆形和螺旋形轨迹开发了两种不具有反投影权重的Feldkamp型重构算法。固态电子探测器技术的进步对具有等距线性阵列,平面(平板)探测器和相应算法的CT系统至关重要。对于二维扇形光束等空间线性阵列检测器几何形状(等角弯曲阵列检测器的补充),我们推导了两种无反投影权重的精确希尔伯特滤波反投影(FBP)重建算法。基于这些算法,使用发散光束FBP算法的标准启发式扩展,开发了无反投影权重的Feldkamp型算法用于3D重建。仿真结果表明,采用无回投影权重且具有圆形轨迹的FDK算法在重建图像中的轴向强度下降与使用Hu's和T-FDK算法所获得的类似。此外,我们提出了有效的算法来减少在圆锥形束CT中的标准FDK重建中遇到的轴向强度下降。所提出的算法主要包括两个步骤:使用无反投影权重的FDK算法重建对象以及估计缺失项。将高效算法与FDK算法,Hu's算法,T-FDK和Zhu等人的算法在轴向强度下降和噪声方面进行了比较。仿真表明,高效算法在轴向强度下降方面的性能与Zhu等人的算法相似,而其中一种有效算法在计算复杂度方面优于Zhu等人的算法。

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