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Near Video-Rate Optical Coherence Elastography by Acceleration With a Graphics Processing Unit

Kirk, R.W., Kennedy, B.F., Sampson, David and McLaughlin, R.A. (2015) Near Video-Rate Optical Coherence Elastography by Acceleration With a Graphics Processing Unit Journal of Lightwave Technology, 33 (16). pp. 3481-3485.

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Abstract

We present a graphics processing unit (GPU)-accelerated optical coherence elastography (OCE) system capable of generating strain images (elastograms) of soft tissue at near video-rates. The system implements phase-sensitive compression OCE using a pipeline of GPU kernel functions to enable a highly parallel implementation of OCE processing using the OpenCL framework. Developed on a commercial-grade GPU and desktop computer, the system achieves a processing rate of 21 elastograms per second at an image size of 960 X 400 pixels, enabling high-rate visualization during acquisition. The system is demonstrated on both tissue-simulating phantoms and fresh ex vivo mouse muscle. To the best of our knowledge, this is the first implementation of near video-rate OCE and the fastest reported OCE processing rate, enabling, for the first time, a system capable of computing and displaying OCE elastograms interactively during acquisition. This advance provides new opportunities for medical imaging of soft tissue stiffness using optical methods.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences
Faculty of Health and Medical Sciences
Authors :
NameEmailORCID
Kirk, R.W.
Kennedy, B.F.
Sampson, Davidd.sampson@surrey.ac.uk
McLaughlin, R.A.
Date : 2015
DOI : 10.1109/JLT.2015.2413402
Uncontrolled Keywords : GPU, graphics processing unit, OCE, OCT, optical coherence elastography, optical coherence tomography, strain, Computer graphics, Computer graphics equipment, Image processing, Medical imaging, Optical tomography, Program processors, Strain, Tissue, Video signal processing, GPU, Graphics Processing Unit, OCE, OCT, Optical coherence elastography, Pipeline processing systems
Depositing User : Maria Rodriguez-Marquez
Date Deposited : 05 Jun 2018 08:31
Last Modified : 19 Sep 2018 11:32
URI: http://epubs.surrey.ac.uk/id/eprint/846775

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