计算机工程与应用2019，Vol.55Issue(4)：208-213,6.DOI:10.3778/j.issn.1002-8331.1804-0375
基于GPU加速的锥束CT重建算法研究
Research on Cone-Beam CT Reconstruction Algorithm Based on GPU Acceleration
摘要
Abstract
With the characteristics of fast data acquisition and high spatial resolution, Cone-Beam Computed Tomography (CBCT)has been widely applied in biology and medical research. However, it is time-consuming to serially process the massive projection data in CBCT image reconstruction by CPU, which makes it difficult to satisfy the real-time require-ment in industrial and clinical applications. The development of Graphics Processing Unit(GPU)facilitates parallel accel-eration of CBCT reconstruction. This paper improves the reconstruction algorithm of FDK by greatly reducing the compu-tation of trigonometric functions according to the characteristics of the periodicity of trigonometric functions, meanwhile, achieves the parallel calculation of 12 projections by GPU. The experimental results show that, compared with the tradi-tional CPU-based FDK reconstruction algorithm, the proposed GPU-based CBCT reconstruction algorithm improves the reconstruction speed by more than 310 times while guaranteeing the quality of the reconstructed image.关键词
锥束CT/FDK算法/图形处理单元(GPU)Key words
cone-beam CT/ FDK algorithm/ Graphics Processing Unit(GPU)分类
信息技术与安全科学引用本文复制引用
张宾,张正强,王洪凯..基于GPU加速的锥束CT重建算法研究[J].计算机工程与应用,2019,55(4):208-213,6.基金项目
国家自然科学基金面上项目(No.61571076) （No.61571076）
国家自然科学基金青年项目(No.81401475) （No.81401475）
辽宁省自然科学基金(No.2015020040) （No.2015020040）
大连市青年科技之星项目(No.2016RQ019) （No.2016RQ019）
大连理工大学星海学者人才培育计划(星海优青)(No.DUT14RC(3)066) （星海优青）
中央高校基本科研业务费专项资金. （）
