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Proceedings Paper

Variation in cross-correlation as a discriminator for microvessel imaging using clinical intravascular optical coherence tomography systems
Author(s): Shiju Joseph; Clément Rousseau; Hrebesh M. Subhash; Martin Leahy; David Adlam
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Paper Abstract

Cross-correlation of Intravascular Optical Coherence Tomography (IV-OCT) images is affected by image distortion due to the non-uniform rotational velocity of the imaging catheter. It results in non-representative cross-correlation maps such that for a static scan, the coefficients fluctuate from high to low correlation values. The variation in cross-correlation at flow locations is muted, in comparison to stationary regions. In the present study, the variation of correlation values and its standard deviation (SD) is used to suppress the distortion related noise effects and to extract flow maps from static scan images. The standard deviation of the cross-correlation variation can distinguish flow locations from the surrounding tissue region. The advantage of this technique is its ability to identify slow flow, even Brownian flow, in the presence of motion artifacts. The SD mask used for generating flow maps, is optimized using tissue mimicking phantoms. Finally, the ability of this technique to suppress noise and capture flow maps is demonstrated by imaging microflow through excised porcine coronary artery wall and mucosa membrane imaging.

Paper Details

Date Published: 6 March 2014
PDF: 7 pages
Proc. SPIE 8934, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII, 89342L (6 March 2014); doi: 10.1117/12.2042053
Show Author Affiliations
Shiju Joseph, Univ. of Leicester (United Kingdom)
National Univ. of Ireland (Ireland)
Clément Rousseau, Univ. of Leicester (United Kingdom)
Hrebesh M. Subhash, National Univ. of Ireland, Galway (Ireland)
Martin Leahy, National Univ. of Ireland, Galway (Ireland)
David Adlam, Univ. of Leicester (United Kingdom)


Published in SPIE Proceedings Vol. 8934:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)

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