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Fast reconstruction of flat region in a super-short scan based on MD-FBP algorithm

机译:基于MD-FBP算法的超短扫描快速重建平坦区域

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摘要

In circular cone-beam computed tomography (CT), although the minimum data filtered-backprojection (MD-FBP) algorithm has many significant applications, such as handling super-short scan problem, its reconstruction efficiency is limited by the heavy calculation of backprojection. In this paper, aiming at the image reconstruction of flat region in a super-short scan, an improved method based on MD-FBP algorithm is developed using an integral operation with fixed integral interval during the implementation of backprojection, which has an improvement in reconstruction efficiency and parallel performance compared with the original MD-FBP algorithm. It is found that if the thickness of the flat region is less than 0.0349 R (R is the scanning radius), the uncertainty of the method can be ignored. When the thickness of reconstructed region is a little fat, it can also be reconstructed by increasing the scanning radius befittingly. The results of numerical simulation and real data experiments have demonstrated the correctness and merits of the proposed method.
机译:在圆形锥束计算机断层扫描(CT)中,尽管最小数据滤波反投影(MD-FBP)算法具有许多重要应用,例如处理超短扫描问题,但其重建效率受到反投影的大量计算的限制。针对超短扫描中平坦区域的图像重建,提出了一种基于MD-FBP算法的改进方法,该方法在反投影的实现过程中使用固定整数间隔的积分运算进行了改进。与原始MD-FBP算法相比,效率和并行性能更高。已经发现,如果平坦区域的厚度小于0.0349R(R是扫描半径),则该方法的不确定性可以忽略。当重建区域的厚度稍胖时,也可以通过适当增加扫描半径来进行重建。数值模拟和真实数据实验的结果证明了该方法的正确性和优点。

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