Extracting information from optical coherence tomography images of tissues: signal attenuation and fractal analysis of speckle pattern

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DOIResolve DOI: http://doi.org/10.1117/12.855912
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Proceedings titleProceedings of SPIE
ConferenceAdvanced Biomedical and Clinical Diagnostic Systems VIII, January 24, 2010, San Francisco, California, USA
Subjectarterial tissue; optical coherence tomography; swept source; fractal analysis; clinical diagnostic; coherent speckle
AbstractTwo methods for analyzing OCT images of arterial tissues are tested. These methods are applied toward two types of samples: segments of arteries collected from atherosclerosis–prone Watanabe heritable hyper-lipidemic rabbits and pieces of porcine left descending coronary arteries without atherosclerosis. The first method is based on finding the attenuation coefficients for the OCT signal that propagates through various regions of the tissue. The second method involves calculating the fractal dimensions of the OCT signal textures in the regions of interest identified within the acquired images. A box-counting algorithm is used for calculating the fractal dimensions. Both parameters, the attenuation coefficient as well as the fractal dimension correlate very well with the anatomical features of both types of samples.
Publication date
AffiliationNRC Institute for Biodiagnostics; NRC Institute for Microstructural Sciences; National Research Council Canada
Peer reviewedYes
NPARC number17673436
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Record identifierf1fe472d-b650-4875-8acc-c97a4efa1f58
Record created2011-04-03
Record modified2016-05-09
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