Graphics processor unit acceleration enables realtime endovascular Doppler optical coherence tomography imaging

Dexter Barrows; Barry Vuong; Kenneth Lee; Jamil Jivraj; Victor X. D. Yang M.D.

doi:10.1117/12.2254930

17 February 2017 Graphics processor unit acceleration enables realtime endovascular Doppler optical coherence tomography imaging

Dexter Barrows, Barry Vuong, Kenneth Lee, Jamil Jivraj, Victor X. D. Yang M.D.

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Proceedings Volume 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI; 100532G (2017) https://doi.org/10.1117/12.2254930
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Endovascular Optical Coherence Tomography (OCT) has previously been used in both bench-top and clinical environments to produce vascular images, and can be helpful in characterizing, among other pathologies, plaque build-up and impedances to normal blood ow. The raw data produced can also be processed to yield high- resolution blood velocity information, but this computation is expensive and has previously only been available a posteriori using post-processing software. Real-time Doppler OCT (DOCT) imaging has been demonstrated before in the skin and eye, but this capability has not been available to vascular surgeons. Graphics Processing Units (GPUs) can be used to dramatically accelerate this type of distributed computation. In this paper we present a software package capable of real-time DOCT processing and circular image display using GPU acceleration designed to operate with catheter-based clinical OCT systems. This image data is overlayed onto structural images providing clinicians with live, high-resolution blood velocity information to complement anatomical data.

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Dexter Barrows, Barry Vuong, Kenneth Lee, Jamil Jivraj, and Victor X. D. Yang M.D. "Graphics processor unit acceleration enables realtime endovascular Doppler optical coherence tomography imaging", Proc. SPIE 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI, 100532G (17 February 2017); https://doi.org/10.1117/12.2254930

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KEYWORDS

Optical coherence tomography

Doppler tomography

Coherence imaging

Doppler effect

Image processing

Blood

Computing systems

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