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Research Papers: Imaging

Accelerating frequency-domain diffuse optical tomographic image reconstruction using graphics processing units

[+] Author Affiliations
Jaya Prakash, Venkittarayan Chandrasekharan, Vishwajith Upendra, Phaneendra K. Yalavarthy

Indian Institute of Science, Supercomputer Education and Research Centre, Bangalore, 560 012 India

J. Biomed. Opt. 15(6), 066009 (November 19, 2010). doi:10.1117/1.3506216
History: Received May 24, 2010; Revised September 12, 2010; Accepted September 15, 2010; Published November 19, 2010; Online November 19, 2010
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Diffuse optical tomographic image reconstruction uses advanced numerical models that are computationally costly to be implemented in the real time. The graphics processing units (GPUs) offer desktop massive parallelization that can accelerate these computations. An open-source GPU-accelerated linear algebra library package is used to compute the most intensive matrix-matrix calculations and matrix decompositions that are used in solving the system of linear equations. These open-source functions were integrated into the existing frequency-domain diffuse optical image reconstruction algorithms to evaluate the acceleration capability of the GPUs (NVIDIA Tesla C 1060) with increasing reconstruction problem sizes. These studies indicate that single precision computations are sufficient for diffuse optical tomographic image reconstruction. The acceleration per iteration can be up to 40, using GPUs compared to traditional CPUs in case of three-dimensional reconstruction, where the reconstruction problem is more underdetermined, making the GPUs more attractive in the clinical settings. The current limitation of these GPUs in the available onboard memory (4 GB) that restricts the reconstruction of a large set of optical parameters, more than 13,377.

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© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Jaya Prakash ; Venkittarayan Chandrasekharan ; Vishwajith Upendra and Phaneendra K. Yalavarthy
"Accelerating frequency-domain diffuse optical tomographic image reconstruction using graphics processing units", J. Biomed. Opt. 15(6), 066009 (November 19, 2010). ; http://dx.doi.org/10.1117/1.3506216


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