Quantitative comparison of hardware architectures for high-speed processing in optical coherence tomography

Brian E. Applegate; Jesung Park; Esteban Carbajal; Darren Schmidt; Kalyanramu Vemishetty

doi:10.1117/12.911755

17 February 2012 Quantitative comparison of hardware architectures for high-speed processing in optical coherence tomography

Brian E. Applegate, Jesung Park, Esteban Carbajal, Darren Schmidt, Kalyanramu Vemishetty

Author Affiliations +

Proceedings Volume 8213, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVI; 821332 (2012) https://doi.org/10.1117/12.911755
Event: SPIE BiOS, 2012, San Francisco, California, United States

Abstract

Several factors are spurring the development of hardware and software to accomplish high-speed processing for Optical Coherence Tomography (OCT). The two most prevalent architectures incorporate either an FPGA or a GPU. While GPUs have faster clock-speed the fact an FPGA can be pipelined makes a direct comparison based simply on system specifications difficult. We have undertaken an effort to make a direct comparison on the same host and consider the total time from digitization to rendering of the image. In addition to making quantitative comparisons between the two architectures we hope to derive useful benchmarks that will inform the design of an optimal high-speed processing system.

Citation Download Citation

Brian E. Applegate, Jesung Park, Esteban Carbajal, Darren Schmidt, and Kalyanramu Vemishetty "Quantitative comparison of hardware architectures for high-speed processing in optical coherence tomography", Proc. SPIE 8213, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVI, 821332 (17 February 2012); https://doi.org/10.1117/12.911755

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