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

Ammu Prakash; Mark Hewko; Michael Sowa; Sherif Sherif

doi:10.1117/12.2032197

18 June 2013 Texture based segmentation method to detect atherosclerotic plaque from optical tomography images

Ammu Prakash, Mark Hewko, Michael Sowa, Sherif Sherif

Proceedings Volume 8802, Optical Coherence Tomography and Coherence Techniques VI; 88020S (2013) https://doi.org/10.1117/12.2032197
Event: European Conferences on Biomedical Optics, 2013, Munich, Germany

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.

Citation Download Citation

Ammu Prakash, Mark Hewko, Michael Sowa, and Sherif Sherif "Texture based segmentation method to detect atherosclerotic plaque from optical tomography images", Proc. SPIE 8802, Optical Coherence Tomography and Coherence Techniques VI, 88020S (18 June 2013); https://doi.org/10.1117/12.2032197

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