Open AccessPlaque Layer Identification in IVUS Images by Iterative based Energy Minimization of Contour Method (IEMCM)
Author(s) -
S. Sridevi*,
M. Sundaresan
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6144.098319
Subject(s) - intravascular ultrasound , energy minimization , adventitia , lumen (anatomy) , layer (electronics) , energy (signal processing) , minification , biomedical engineering , artificial intelligence , computer vision , computer science , ultrasound , materials science , radiology , medicine , mathematics , physics , statistics , quantum mechanics , composite material , programming language
Atherosclerotic plaque is the major cause of coronary heart artery diseases. Heart artery plaque layer analysis is one of the most important and challenging problem, which can be determined by using Intravascular Ultrasound (IVUS) Cross Sectional images, which is an excellent ultrasound study system for extracting and to easily identify the plaque layer by using the shape parameter measurements. This paper presents and elucidates the novel approach to find out the plaque layer with the help of the artery cross sectional layers determination, which are adventitia, media, intima and lumen layers. This system measures the layer’s performance to make the clear way to identify the plaque layer, which proposes a new method namely Iterative based Energy Minimization of Contour method (IEMCM). The cross sectional IVUS acts as an input image for processing and analysis of the plaque layer based on the IVUS Simulation study Measurements of coronary vessel wall dimensions and shape measurements. The proposed method produced high accuracy when compared to the existing methods