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Proceedings Paper

Ultrafast image reconstruction of a dual-head PET system by use of CUDA architecture
Author(s): YuKai Hung; Yun Dong; Felix R. Chern; Weichung Wang; Chien-Min Kao; Chin-Tu Chen; Cheng-Ying Chou
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Paper Abstract

Positron emission tomography (PET) is an important imaging modality in both clinical usage and research studies. For small-animal PET imaging, it is of major interest to improve the sensitivity and resolution. We have developed a compact high-sensitivity PET system that consisted of two large-area panel PET detector heads. The highly accurate system response matrix can be computed by use of Monte Carlo simulations, and stored for iterative reconstruction methods. The detector head employs 2.1x2.1x20 mm3 LSO/LYSO crystals of pitch size equal to 2.4 mm, and thus will produce more than 224 millions lines of response (LORs). By exploiting the symmetry property in the dual-head system, the computational demands can be dramatically reduced. Nevertheless, the tremendously large system size and repetitive reading of system response matrix from the hard drive will result in extremely long reconstruction times. The implementation of an ordered subset expectation maximization (OSEM) algorithm on a CPU system (four Athlon x64 2.0 GHz PCs) took about 2 days for 1 iteration. Consequently, it is imperative to significantly accelerate the reconstruction process to make it more useful for practical applications. Specifically, the graphic processing unit (GPU), which possesses highly parallel computational architecture of computing units can be exploited to achieve a substantial speedup. In this work, we employed the state-of-art GPU, NVIDIA Tesla C2050 based on the Fermi-generation of the compute united device architecture (CUDA) architecture, to yield a reconstruction process within a few minutes. We demonstrated that reconstruction times can be drastically reduced by using the GPU. The OSEM reconstruction algorithms were implemented employing both GPU-based and CPU-based codes, and their computational performance was quantitatively analyzed and compared.

Paper Details

Date Published: 17 March 2011
PDF: 6 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 796147 (17 March 2011); doi: 10.1117/12.878373
Show Author Affiliations
YuKai Hung, National Taiwan Univ. (Taiwan)
Yun Dong, Illinois Institute of Technology (United States)
Toshiba Medical Research Institute USA, Inc. (United States)
Felix R. Chern, National Taiwan Univ. (Taiwan)
Weichung Wang, National Taiwan Univ. (Taiwan)
Chien-Min Kao, The Univ. of Chicago (United States)
Chin-Tu Chen, The Univ. of Chicago (United States)
Cheng-Ying Chou, National Taiwan Univ. (Taiwan)


Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)

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