Automated identification of Intima Media Thickness in Ultrasound Artery Images

In this paper presents identification of intima media thickness (IMT) in common carotid Artery ultrasound video sequence. It is fully using automatic segmentation, these are based on unsupervised manner. The aim of this study introduces a novel unsupervised Computer Aided Detection (CAD) Algorithm that is able to identify and measure the IMT in 2D ultrasound carotid images. The developed technique relies on a suite on image processing algorithms that embeds a statistical model to identify the two interfaces that form the IMT without user intervention. The experimental results show that the proposed CAD system is robust in accurately estimating the IMT in ultrasound carotid data. KeywordsEdge detection, Common Carotid Artery, Ultrasound, Intima Media Thickness, Lumen Intima, Media Adventia, Segmentation.