Paper
25 November 2009 High speed parallel processing of biomedical optics data with PC graphic hardware
Chao Jiang, Pengcheng Li, Qingming Luo
Author Affiliations +
Proceedings Volume 7634, Optical Sensors and Biophotonics; 76340U (2009) https://doi.org/10.1117/12.854862
Event: Asia Communications and Photonics, 2009, Shanghai, Shanghai , China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chao Jiang, Pengcheng Li, and Qingming Luo "High speed parallel processing of biomedical optics data with PC graphic hardware", Proc. SPIE 7634, Optical Sensors and Biophotonics, 76340U (25 November 2009); https://doi.org/10.1117/12.854862
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Monte Carlo methods

Biomedical optics

Visualization

Data processing

Graphics processing units

Image processing

Photon transport

Back to Top