Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/79530
Title: Vessel intimal extraction of coronary optical coherence tomography imagery based on an improved CV model
Authors: Yang, Jianli
Shi, Yasong
Lin, Feng
Yuan, Hao
Han, Yechen
Liu, Xiuling
Keywords: Engineering::Computer science and engineering
Active Contour
Catheter Shadow
Issue Date: 2017
Source: Yang, J., Shi, Y., Lin, F., Yuan, H., Han, Y., & Liu, X. (2017). Vessel intimal extraction of coronary optical coherence tomography imagery based on an improved CV model. Journal of Medical Imaging and Health Informatics, 7(1), 235-240. doi:10.1166/jmihi.2017.2012
Series/Report no.: Journal of Medical Imaging and Health Informatics
Abstract: Optical coherence tomography (OCT) is a novel technology used in coronary artery disease diagnosis for its high resolution. It has numerous advantages in 3D vessel modeling and vulnerable plaque quantification. This paper proposes a robust vessel intimal extraction algorithm using active contours. A pre-processing module, that takes into consideration the characteristics of coronary OCT imagery, is introduced to eliminate a variety of visual disruptions. Then, a monotonically decreasing function is added into the Chan-Vese (CV) method in order to avoid over segmentation. This is done by controlling the evolution speed in closing the boundary area. A postprocess is followed after CV segmentation to weaken the rotation distortion influence on the extraction result. We use 281 clinical coronary OCT images gathered from Peking Union Medical College Hospital to validate our algorithm. Then we compare our results to manual expert evaluations and a conventional CV method. The extraction results can be used in clinical applications and can provide a basis to further plaque classification.
URI: https://hdl.handle.net/10356/79530
http://hdl.handle.net/10220/49061
ISSN: 2156-7018
DOI: 10.1166/jmihi.2017.2012
Rights: © 2017 American Scientific Publishers. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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