Plaque Layer Identification in IVUS Images by Iterative based Energy Minimization of Contour Method (IEMCM)
S. Sridevi1, M. Sundaresan2

1S.Sridevi, Department of Information Technology, Bharathiar University, Coimbatore, India.
2M.Sundaresan, Department of Information Technology, Bharathiar University, Coimbatore, India. 

Manuscript received on 05 August 2019. | Revised Manuscript received on 12 August 2019. | Manuscript published on 30 September 2019. | PP: 5392-5397 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6144098319/2019©BEIESP | DOI: 10.35940/ijrte.C6144.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Key Words: Atherosclerotic plaque, Coronary Heart Artery, Energy Minimization, Intravascular Ultrasound, Left Anterior Descending, Right Coronary Artery.

Scope of the Article:
Renewable Energy Technology