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Approaches to General Purpose GPU Acceleration of Digital Signal Processing in Optical Coherence Tomography Systems

Kapinchev, Konstantin I., Barnes, Frederick R.M., Bradu, Adrian, Podoleanu, Adrian G.H. (2013) Approaches to General Purpose GPU Acceleration of Digital Signal Processing in Optical Coherence Tomography Systems. In: IEEE International Conference on Systems, Man and Cybernetics, 13-16 Oct 2013, Manchester, UK. (doi:10.1109/SMC.2013.440)

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http://dx.doi.org/10.1109/SMC.2013.440

Abstract

This paper explores and evaluates two approaches designed to improve the performance of digital signal processing within optical coherency tomography systems. Such systems rely on high-speed cameras or fast photo detectors to capture data, that is then processed using established techniques (typically Fourier transforms) and results presented to the user. In certain applications of these systems, medical imaging in ophthalmology for instance, performance is an issue. CPU processing cannot keep pace with data capture, resulting in lost frames and longer latencies from scan to results. To address these issues, this research explores the use of commonly available graphics processors for the bulk of data processing in such systems. We have integrated this within an existing system, developed using National Instruments' LabVIEW software, and report on the results.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/SMC.2013.440
Uncontrolled keywords: parallel computing, GP-GPU, CUDA, digital signal processing, optical coherence tomography
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Q Science > QC Physics > QC355 Optics
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Physical Sciences
Depositing User: F. Barnes
Date Deposited: 30 Nov 2013 00:26 UTC
Last Modified: 18 Sep 2019 09:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/37009 (The current URI for this page, for reference purposes)
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