A Fast CT Reconstruction Scheme for a General Multi-Core PC

Kai Zeng; Erwei Bai; Ge Wang

doi:10.1155/2007/29160

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A Fast CT Reconstruction Scheme for a General Multi-Core PC

Journal article

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Peer reviewed

A Fast CT Reconstruction Scheme for a General Multi-Core PC

Kai Zeng, Erwei Bai and Ge Wang

International journal of biomedical imaging, Vol.2007(2007), pp.1-9

2007

DOI: 10.1155/2007/29160

PMCID: PMC1986783

PMID: 18256731

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Abstract

Expensive computational cost is a severe limitation in CT reconstruction for clinical applications that need real-time feedback. A primary example is bolus-chasing computed tomography (CT) angiography (BCA) that we have been developing for the past several years. To accelerate the reconstruction process using the filtered backprojection (FBP) method, specialized hardware or graphics cards can be used. However, specialized hardware is expensive and not flexible. The graphics processing unit (GPU) in a current graphic card can only reconstruct images in a reduced precision and is not easy to program. In this paper, an acceleration scheme is proposed based on a multi-core PC. In the proposed scheme, several techniques are integrated, including utilization of geometric symmetry, optimization of data structures, single-instruction multiple-data (SIMD) processing, multithreaded computation, and an Intel C++ compilier. Our scheme maintains the original precision and involves no data exchange between the GPU and CPU. The merits of our scheme are demonstrated in numerical experiments against the traditional implementation. Our scheme achieves a speedup of about 40, which can be further improved by several folds using the latest quad-core processors.

Details

Title: Subtitle: A Fast CT Reconstruction Scheme for a General Multi-Core PC
Creators: Kai Zeng - University of Iowa
Erwei Bai - University of Iowa
Ge Wang - Virginia Tech
Resource Type: Journal article
Publication Details: International journal of biomedical imaging, Vol.2007(2007), pp.1-9
DOI: 10.1155/2007/29160
PMID: 18256731
PMCID: PMC1986783
NLM abbreviation: Int J Biomed Imaging
ISSN: 1687-4188
eISSN: 1687-4196
Publisher: Hindawi Publishing Corporation
Grant note: DOI: 10.13039/100000070, name: National Institute of Biomedical Imaging and Bioengineering, award: EB002667, EB004287, ECS 055394
Language: English
Date published: 2007
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197533302771

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