You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
18 June 2013Texture based segmentation method to detect atherosclerotic plaque from optical tomography images
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.
The alert did not successfully save. Please try again later.
Ammu Prakash, Mark Hewko, Michael Sowa, 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