Multi-GPU based Cluster System for CT Iterative Reconstruction Algorithm

DOI

10.2991/icmii-15.2015.154How to use a DOI?

Keywords

CT; reconstruction algorithm; IR; multi-GPU

Abstract

Iterative reconstruction (IR) techniques are able to provide better reconstruction results compared with analytic reconstruction methods in cone-beam CT (CBCT) with incomplete and noisy projection data. However, image reconstruction algorithm remains to be signi cantly time-consuming especially faced with the large data set which decreases the ef ciency of imaging processing. Although graphic processing unit (GPU) has offered an attractive alternative platform to improve the computation efficiency, but the single graphic card is still hard to meet the practical requirement because of the limitation on video memory. This paper presents a distributed parallel method for iterative algorithm using multi-GPU based cluster system, which is designed by algorithm characteristics and hardware structures. The experiments show that the multi-GPU based cluster system is able to achieve the same precision with single node, meanwhile it will gain higher speedup with the increasing number of nodes or GPUs. The computing time of whole reconstruction reduces to almost half of the origin by doubling the computing devices.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wan-Li Lu
AU  - Bin Yan
AU  - Jian-Lin Chen
AU  - Ai-Long Cai
AU  - Lei Li
PY  - 2015/10
DA  - 2015/10
TI  - Multi-GPU based Cluster System for CT Iterative Reconstruction Algorithm
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 881
EP  - 886
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.154
DO  - 10.2991/icmii-15.2015.154
ID  - Lu2015/10
ER  -