Texture based segmentation method to detect atherosclerotic plaque from optical tomography images

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DOIResolve DOI: http://doi.org/10.1117/12.2032197
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TypeArticle
Proceedings titleProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ConferenceOptical Coherence Tomography and Coherence Techniques VI Conference, 13 May 2013 through 15 May 2013, Munich
ISSN1605-7422
ISBN9780819496515
Volume8802
Article number88020S
Subjectatherosclerosis; Atherosclerotic plaque; Cardio-vascular disease; High frame rate; plaque; Plaque detection; Texture-based segmentations; Visual detection; Diseases; Image processing; Image segmentation; Image texture; Photography; Textures; Tissue; Optical tomography
AbstractOptical coherence tomography (OCT) imaging has been widely employed in assessing cardiovascular disease. Atherosclerosis is one of the major cause cardio vascular diseases. However visual detection of atherosclerotic plaque from OCT images is often limited and further complicated by high frame rates. We developed a texture based segmentation method to automatically detect plaque and non plaque regions from OCT images. To verify our results we compared them to photographs of the vascular tissue with atherosclerotic plaque that we used to generate the OCT images. Our results show a close match with photographs of vascular tissue with atherosclerotic plaque. Our texture based segmentation method for plaque detection could be potentially used in clinical cardiovascular OCT imaging for plaque detection. © OSA-2013 SPIE.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Biodiagnostics (IBD-IBD)
Peer reviewedYes
NPARC number21269866
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Record identifierac505922-337b-44c6-b15d-cee90391bd9c
Record created2013-12-13
Record modified2016-05-09
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