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一种用于环形锥束 CT 的曲线滤波 FDK(C-FDK)重建算法。

A curve-filtered FDK (C-FDK) reconstruction algorithm for circular cone-beam CT.

机构信息

Department of Engineering Physics, Tsinghua University, Beijing, China.

出版信息

J Xray Sci Technol. 2011;19(3):355-71. doi: 10.3233/XST-2011-0299.

Abstract

Circular cone-beam CT is one of the most popular configurations in both medical and industrial applications. The FDK algorithm is the most popular method for circular cone-beam CT. However, with increasing cone-angle the cone-beam artifacts associated with the FDK algorithm deteriorate because the circular trajectory does not satisfy the data sufficiency condition. Along with an experimental evaluation and verification, this paper proposed a curve-filtered FDK (C-FDK) algorithm. First, cone-parallel projections are rebinned from the native cone-beam geometry in two separate directions. C-FDK rebins and filters projections along different curves from T-FDK in the centrally virtual detector plane. Then, numerical experiments are done to validate the effectiveness of the proposed algorithm by comparing with both FDK and T-FDK reconstruction. Without any other extra trajectories supplemental to the circular orbit, C-FDK has a visible image quality improvement.

摘要

环形锥束 CT 是医学和工业应用中最受欢迎的配置之一。FDK 算法是环形锥束 CT 最常用的方法。然而,随着锥角的增加,与 FDK 算法相关的锥束伪影会恶化,因为圆形轨迹不满足数据充足条件。本文通过实验评估和验证,提出了一种曲线滤波 FDK(C-FDK)算法。首先,从原始的锥形束几何形状在两个不同的方向上重新排列锥形平行投影。C-FDK 沿着与 T-FDK 不同的曲线在中央虚拟探测器平面上重新排列和滤波投影。然后,通过与 FDK 和 T-FDK 重建进行比较,数值实验验证了所提出算法的有效性。无需在圆形轨道之外添加任何额外的轨迹,C-FDK 就可以显著提高图像质量。

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