Laser & Optoelectronics Progress, Volume. 57, Issue 12, 121001(2020)
Parallel Accelerated Reconstruction Method for Dual-Energy Computed Tomography Based on Graphics Processing Unit
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.
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Pingyu Zhang. Parallel Accelerated Reconstruction Method for Dual-Energy Computed Tomography Based on Graphics Processing Unit[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121001
Category: Image Processing
Received: Jul. 19, 2019
Accepted: Oct. 29, 2019
Published Online: Jun. 3, 2020
The Author Email: Zhang Pingyu (zhangpy@fiscan.cn)