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

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TypeArticle
Proceedings titleAdvanced microscopy techniques III
Series titleOptics InfoBase Conference Papers
ConferenceEuropean Conference on Biomedical Optics, May 12-16 2013, Munich, Germany
ISSN2162-2701
ISBN9780819496461
SubjectAtherosclerosis; Image processing; Image texture; Optical coherence tomography; Plaque
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.
Publication date
PublisherOSA Publishing
LanguageEnglish
AffiliationNational Research Council Canada; Medical Devices
Peer reviewedYes
NPARC number23000614
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Record identifierac1d6ca3-0cbe-47f8-b03e-47eb7c77157f
Record created2016-08-05
Record modified2016-08-05
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