Atherosclerotic tissue characterization in vivo by optical coherence tomography attenuation imaging
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van Soest-2010-Atherosclerotic tiss.pdf
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Author(s) • • • • • • • • •
Tearney, Guillermo J.
Bouma, Brett E.
Oosterhuis, J. Wolter
Okamura, Takayuki
van Noorden, Sander
Gonzalo, Nieves
van Leenders, Geert L. J. H.
Koljenović, Senada
van der Steen, Anton F. W.
Serruys, Patrick W.
Date Issued
January 2010
Journal
Journal of Biomedical Optics
Publisher
SPIE
Citation
van Soest, Gijs et al. “Atherosclerotic tissue characterization in vivo by optical coherence tomography attenuation imaging.” Journal of Biomedical Optics 15.1 (2010): 011105-9. ©2010 Society of Photo-Optical Instrumentation Engineers.
Version
Final published version
Abstract
Optical coherence tomography (OCT) is rapidly becoming the method of choice for assessing arterial wall pathology in vivo. Atherosclerotic plaques can be diagnosed with high accuracy, including measurement of the thickness of fibrous caps, enabling an assessment of the risk of rupture. While the OCT image presents morphological information in highly resolved detail, it relies on interpretation of the images by trained readers for the identification of vessel wall components and tissue type. We present a framework to enable systematic and automatic classification of atherosclerotic plaque constituents, based on the optical attenuation coefficient µt of the tissue. OCT images of 65 coronary artery segments in vitro, obtained from 14 vessels harvested at autopsy, are analyzed and correlated with histology. Vessel wall components can be distinguished based on their optical properties: necrotic core and macrophage infiltration exhibit strong attenuation, µt>=10 mm−1, while calcific and fibrous tissue have a lower µt[approximate]2−5mm−1. The algorithm is successfully applied to OCT patient data, demonstrating that the analysis can be used in a clinical setting and assist diagnostics of vessel wall pathology.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
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DOI of Published Version
https://doi.org/10.1117/1.3280271