Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization

Pardhu Madipalli, Sandeep Kotta, Harish Dadi, Y. Nagaraj, C. S. Asha, A. V. Narasimhadhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Cardiovascular diseases have been one of the leading causes of death and have been increasing in much of the developing world. Atherosclerosis, the accumulation of plaque on artery walls is the major for cardiovascular diseases. This is diagnosed by measuring the thickness of IMC of common carotid artery (CCA) in ultrasound images. In this paper, we present a completely automatic technique for segmentation of IMC in ultrasound images of CCA. The image is segmented using adaptive wind driven optimization (AWDO) technique. The denoising filter based on Bayesian least square approach and a robust enhancement technique is used in the pre-processing stage. The proposed method is evaluated on 60 ultrasound images and is compared with the state-of-The-Art methods. The experimental results show that the proposed method yields better results as compared to other methods.

Original languageEnglish
Title of host publication2018 24th National Conference on Communications, NCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538612248
DOIs
Publication statusPublished - 02-01-2019
Event2018 24th National Conference on Communications, NCC 2018 - Hyderabad, India
Duration: 25-02-201828-02-2018

Publication series

Name2018 24th National Conference on Communications, NCC 2018

Conference

Conference2018 24th National Conference on Communications, NCC 2018
Country/TerritoryIndia
CityHyderabad
Period25-02-1828-02-18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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