Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 6
1879-1882

Research on real-time computed tomographic reconstruction system based on GPU heterogeneous platform

Xia Songzhu1
Yang Jing1
Fang Baohui1
Xu Jinxiu2
1. College of Computer Science & Technology, Harbin Engineering University, Harbin 150000, China
2. Jiangnan Institute of Computing Technology, Wuxi Jiangsu 214083, China
DOI: 10.19734/j.issn.1001-3695.2017.12.0859

Abstract

In order to solve long time consuming problems of single CPU computed tomographic(CT) reconstruction and the problems of high cost and high energy consumption in the reconstruction using CPU cluster, this paper proposed a heterogeneous reconstruction model of CPU multithreads +GPU. This model used the CPU multithread pipelining pattern, it divided the whole task into several stages, and connected each two adjacent phases by a loop buffer. Once the calculation of the current task stage completed, the data would be put into the loop buffer, and then the next computing task would continue to execute. When the data in the loop buffers was detected by the latter stage, the data would be removed from the loop buffers and calculated. In this way, each thread processed tasks in a parallel way. For a time consuming bottleneck module, it adopted the parallel acceleration of GPU to give full play to the computing resources of CPU and GPU. The CPU multithreads +GPU model is 16.45 times faster than the CPU multithreaded model, and accelerates more than 20.5 times faster than serial CT image reconstruction. By comparing with experimental results of CPU serial program, the result of the CPU multithreads +GPU model can meet the experimental design requirement in the range of error tolerance. The image reconstruction model proposed by using low cost GPU has greatly enhanced performance, greatly reduces the cost and power consumption of the CT system. The reduction in cost and power consumption will lead to a reduction in the cost of CT medical diagnosis, which will eventually benefit patients.

Foundation Support

国家重点研发计划资助项目(2017YFB0202702)
国家“973”计划资助项目(2014CB744100)
国家“863”计划资助项目(2012AA01A306)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0859
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Technology of Graphic & Image
Pages: 1879-1882
Serial Number: 1001-3695(2019)06-058-1879-04

Publish History

[2019-06-05] Printed Article

Cite This Article

夏松竹, 杨静, 方宝辉, 等. 基于GPU异构平台的实时CT图像重建系统的研究 [J]. 计算机应用研究, 2019, 36 (6): 1879-1882. (Xia Songzhu, Yang Jing, Fang Baohui, et al. Research on real-time computed tomographic reconstruction system based on GPU heterogeneous platform [J]. Application Research of Computers, 2019, 36 (6): 1879-1882. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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