激光与光电子学进展, 2020, 57 (12): 121001, 网络出版: 2020-06-03  

基于图形处理器的并行加速双能计算机层析成像重建方法 下载: 711次

Parallel Accelerated Reconstruction Method for Dual-Energy Computed Tomography Based on Graphics Processing Unit
作者单位
公安部第一研究所安检事业部, 北京 102200
摘要
提出了一种基于图形处理器(GPU)并行加速双能计算机层析成像(CT)重建的整体解决方法。该方法通过将双能采样数据视角配准步骤整合到基本的双能CT重建过程中,保证了双能投影分解的准确性,从而提高了双能CT重建的准确性。通过在反投影步骤中同时反投影几种图像,避免重复计算投影地址,并且在整体重建过程的各个步骤中采用GPU并行方式进行计算,有效提高了双能CT的重建速度。重建图像为2种和4种时,与重复执行多次单能CT并行重建相比,本文方法的重建过程加速比分别为1.88和3.24,其中最耗时反投影步骤加速比分别为1.90和3.66。实验和实际应用证明了该方法可有效提高双能CT重建的准确性和速度。
Abstract
A complete solution for parallel accelerated reconstruction of dual-energy computed tomography (CT) based on graphics processing unit (GPU) is proposed. By integrating the view angle registration steps of dual-energy sampling data into the basic reconstruction process of dual-energy CT, the accuracy of dual-energy projection decomposition is granted, and the accuracy of dual-energy CT reconstruction is improved. Several images are back-projected simultaneously in the back-projection step to avoid repeated calculation of projection addresses, and GPU parallel algorithm is used in each step in the whole reconstruction process to improve the reconstruction speed of dual-energy CT. When the reconstructed images are two and four types, compared with the reconstruction speed of repeated reconstruction by single-energy CT, the speedup ratio of the reconstruction process of the proposed method is 1.88 and 3.24, respectively, and the speedup ratio of the most time-consuming back-projection step is 1.90 and 3.66, respectively. Experiments and practical application prove that the proposed method can effectively improve the accuracy and speed of dual-energy CT reconstruction.

张萍宇. 基于图形处理器的并行加速双能计算机层析成像重建方法[J]. 激光与光电子学进展, 2020, 57(12): 121001. Pingyu Zhang. Parallel Accelerated Reconstruction Method for Dual-Energy Computed Tomography Based on Graphics Processing Unit[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121001.

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