| DOI | Resolve DOI: https://doi.org/10.1117/12.2032197 |
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| Author | Search for: Prakash, A.; Search for: Hewko, M.1; Search for: Sowa, M.1; Search for: Sherif, S. |
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| Affiliation | - National Research Council of Canada. NRC Institute for Biodiagnostics
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| Format | Text, Article |
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| Conference | European Conferences on Biomedical Optics, May 13-15, 2013, Munich, Germany |
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| Subject | atherosclerosis; 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 |
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| Abstract | Optical 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. |
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| Publication date | 2013 |
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| Publisher | SPIE |
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| In | |
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| Series | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21269866 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | ac505922-337b-44c6-b15d-cee90391bd9c |
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| Record created | 2013-12-13 |
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| Record modified | 2020-04-22 |
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