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http://dx.doi.org/10.6109/jkiice.2019.23.12.1514

Segmentation of Intima/Adventitia of IVUS Image using Fuzzy Binarization  

Kim, Kwang Baek (Division of Computer Software Engineering, Silla University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.12, 2019 , pp. 1514-1519 More about this Journal
Abstract
IVUS is an intra-operative imaging modality that facilitates observing and appraising the vessel wall structure of the human coronary arteries. IVUS is regularly used to locate the atherosclerosis lesions in the coronary arteries. Auto-segmentation of the vessel structure is important to detect the disorder of coronary artery. In this paper, we propose a simple strategy to extract Intima/Adventitia area effectively using fuzzy binarization from intravascular images. The proposed method apply fuzzy binarization to find the adventitia but apply average binarization to locate the intima since they have different homogeneity of pixel intensity comparing with the environment. In this paper, we demonstrate an effective auto-segmentation method for detecting the interior/exterior of the vessel walls by differentiating the fuzzy binarization result and average binarization result from IVUS image. Important statistics such as Intima-Media Thickness (IMT) or volume of a target area can be easily computed from result.
Keywords
IVUS(Intravascular Ultrasound); Intima; Adventitia; Fuzzy Binarization;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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