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2 April 2014 Parallelized multi–graphics processing unit framework for high-speed Gabor-domain optical coherence microscopy
Patrice Tankam, Anand P. Santhanam, Kye-Sung Lee, Jungeun Won, Cristina Canavesi, Jannick P. Rolland
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Journal of Biomedical Optics, Vol. 19, Issue 7, 071410 (April 2014). https://doi.org/10.1117/1.JBO.19.7.071410
Abstract
Gabor-domain optical coherence microscopy (GD-OCM) is a volumetric high-resolution technique capable of acquiring three-dimensional (3-D) skin images with histological resolution. Real-time image processing is needed to enable GD-OCM imaging in a clinical setting. We present a parallelized and scalable multi-graphics processing unit (GPU) computing framework for real-time GD-OCM image processing. A parallelized control mechanism was developed to individually assign computation tasks to each of the GPUs. For each GPU, the optimal number of amplitude-scans (A-scans) to be processed in parallel was selected to maximize GPU memory usage and core throughput. We investigated five computing architectures for computational speed-up in processing 1000×1000 A-scans. The proposed parallelized multi-GPU computing framework enables processing at a computational speed faster than the GD-OCM image acquisition, thereby facilitating high-speed GD-OCM imaging in a clinical setting. Using two parallelized GPUs, the image processing of a 1×1×0.6  mm 3 skin sample was performed in about 13 s, and the performance was benchmarked at 6.5 s with four GPUs. This work thus demonstrates that 3-D GD-OCM data may be displayed in real-time to the examiner using parallelized GPU processing.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Patrice Tankam, Anand P. Santhanam, Kye-Sung Lee, Jungeun Won, Cristina Canavesi, and Jannick P. Rolland "Parallelized multi–graphics processing unit framework for high-speed Gabor-domain optical coherence microscopy," Journal of Biomedical Optics 19(7), 071410 (2 April 2014). https://doi.org/10.1117/1.JBO.19.7.071410
Published: 2 April 2014
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Cited by 23 scholarly publications and 2 patents.
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KEYWORDS
Image processing
Skin
3D image processing
Graphics processing units
Image resolution
Optical coherence tomography
Data acquisition
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