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

机译:圆锥束CT的曲线滤波FDK(C-FDK)重建算法

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摘要

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.
机译:锥束CT是医疗和工业应用中最受欢迎的配置之一。 FDK算法是用于圆锥CT的最流行方法。但是,随着锥角的增加,与FDK算法关联的锥束伪影会恶化,因为圆形轨迹不满足数据充分性条件。除了实验评估和验证,本文还提出了一种曲线滤波的FDK(C-FDK)算法。首先,将锥面平行投影从原始锥束几何体沿两个单独的方向重新组合。 C-FDK在中央虚拟探测器平面中沿着与T-FDK不同的曲线重新组合和过滤投影。然后,通过与FDK和T-FDK重建进行比较,进行了数值实验,以验证所提算法的有效性。在没有任何其他补充圆轨道的轨迹的情况下,C-FDK的图像质量得到了改善。

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