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Investigation on Pi-line Selecting Method Base on GPU Accelerated Back-projection Filtered VOI Reconstruction

机译:GPU加速后投影的PI型选择方法基础探讨VOI重建

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Reconstruction algorithms based on Pi-line or Chord are active subject in CBCT. Among them back-projection filtered (BPF) reconstruction algorithm has obvious influence for its exact reconstruction results and less computations especially in selected volume of interesting (VOI) regions. However, the selecting and sampling method of Pi-line segment can directly affect the quality of reconstructed images. In this paper, we proposed a general Pi-line selecting scheme to reconstruct VOI regions by using BPF algorithm, which mainly based on the relationship between reconstructed coordinate and Pi-line coordinate. The proposed scheme is applicable for GPU accelerated back-projection filtered reconstruction.
机译:基于PI线或Chord的重建算法是CBCT中的主体主题。其中回投影过滤(BPF)重建算法对其确切的重建结果和较少计算的影响显而易见,特别是在所选体积的有趣(VOI)区域中。然而,PI线段的选择和采样方法可以直接影响重建图像的质量。在本文中,我们提出了一种通过使用BPF算法来重建VOI区域的一般PI线选择方案,这主要基于重建坐标和PI线坐标之间的关系。该方案适用于GPU加速的背投滤波重建。

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