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Proceedings Paper

High speed parallel processing of biomedical optics data with PC graphic hardware
Author(s): Chao Jiang; Pengcheng Li; Qingming Luo
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Paper Abstract

In the field of biomedical optics, many approaches need to process tremendous data set using complicated algorithms, which cause heavy computation and limit their applications in the real-time conditions, such as clinical diagnoses and therapy. In this paper, we present and review several successful applications using GPU (graphic processing unit) to accelerate the processing of biomedical optics data including image processing, Monte Carlo simulation, image reconstruction and statistics analysis. It is shown that GPU are proved to obtain significant performance improvement in contrast with the traditional used methods based on CPU calculation.

Paper Details

Date Published: 25 November 2009
PDF: 7 pages
Proc. SPIE 7634, Optical Sensors and Biophotonics, 76340U (25 November 2009); doi: 10.1117/12.854862
Show Author Affiliations
Chao Jiang, Huazhong Univ. of Science and Technology (China)
Pengcheng Li, Huazhong Univ. of Science and Technology (China)
Qingming Luo, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 7634:
Optical Sensors and Biophotonics
Xingde Li; Qingming Luo; Vasilis Ntziachristos; Yoshiaki Yasuno, Editor(s)

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