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Carotid Artery Intima-Media Thickness Measured by Iterated Layer-cluster Discrimination  

Hwang Jae-Ho (Dept. of Electronic Engineering, Hanbat National University)
Kim Wuon-Shik (Bio-signal Research Center, Korea Research Institute of Standards and Science)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.43, no.5, 2006 , pp. 89-100 More about this Journal
Abstract
The carotid intima-media thickness (IMT) is very important, because the severity of it is an independent predictor of transient cerebral ischemia, stroke, and coronary events such as myocardial infarction. The conventional image processing to measure the IMT has not been satisfactory, because the methods have relied on the manual section drawing and a regional segmentation by differential estimation. We propose a new image processing technology effective to extract features from the carotid artery image whose pixels have the directional vector properties with composed color distribution. The technique we presented here is not by differential variation but by verification of the layer properties of carotid artery image. Iterated vertical and horizontal analysis and segmentation of the IMT image show the vector characteristics. This new technique makes it possible to cluster the layers statistically, and to classify mathematical correlation between regions and resulting in correct measurements of thickness and its variation. The advantages and effectiveness of this approach are applicable to region process and character extraction of such a vector image.
Keywords
Iterated Layer-cluster Discrimination; Carotid Artery; Intima-Media Thickness; Cluster;
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Times Cited By KSCI : 1  (Citation Analysis)
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