物理学报Issue(9)：493-499,7.DOI:10.7498/aps.62.098702
一种圆轨迹锥束CT中截断投影数据的高效重建算法*
Efficient reconstruction from truncated data in circular cone-beam CT∗
摘要
Abstract
In circular cone-beam computed tomography (CT), to solve the 3D image reconstruction from truncated projection data which has no truncation along PI-line, backprojection-filtration (BPF) algorithm is a preferred choice. However, in its performance the integral interval of backprojection is variable for different PI-line, rendering the parallelism performance of backprojection low. So it cannot satisfy the requirement of fast image reconstruction in practical CT system. In this paper, a tent BPF (T-BPF) algorithm is developed based on the data rebinning method, which was performed by first rearranging the cone-beam data to tent-like parallel-beam data, and then applying the proposed BPF-type algorithm to reconstruct images from the rearranged data. T-BPF turns the variable view-angle integral interval of backprojection into a fixed integral interval, and there are no relations in the loops of backprojection calculation, which means the parallelism performance of T-BPF is an improvement over that of the original BPF algorithm. The results of experiments show that compared with the conventional CPU implementation, the GPU accelerated method provides images of the same quality with a speedup factor 1036 for the reconstruction of 2563 Shepp-Logan model. The speedup factor is an improvement in the original BPF algorithm. T-BPF provides a solution for the 3D fast reconstruction from truncated data.关键词
X射线光学/CT/图像重建/GPUKey words
X-ray optics/CT/image reconstruction/GPU引用本文复制引用
汪先超,闫镔,刘宏奎,李磊,魏星,胡国恩..一种圆轨迹锥束CT中截断投影数据的高效重建算法*[J].物理学报,2013,(9):493-499,7.基金项目
国家重点基础研究发展计划(批准号:2013CB430105,2009CB421505)、中国科学院重点部署项目(批准号:KZZD-EW-05)、灾害天气国家重点实验室开放课题(批准号:2011LASW-B15)、公益性行业(气象)科研专项(批准号:GYHY200906004)和国家自然科学基金(批准号:41175060,41075098,41005005)资助的课题.@@@@Project supported by the National Basic Research Program of China (Grant Nos.2013CB430105,2009CB421505), the Key Program of the Chinese Academy of Science (Grant No. KZZD-EW-05), the Project of CAMS (Grant No.2011LASW-B15), the Spectial Scientific Research Fund of the Meteorological Public Welfare of Ministry of Sciences and Technology (Grant No. GYHY200906004), and the National Natural Science Foundation of China (Grant Nos.41175060,41075098,41005005) （批准号:2013CB430105,2009CB421505）
