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Diagnosis of Cardiovascular Diseases (CVD) Using Medical Images

  • R. Indumathi
  • M. Maheswari
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 446)

Abstract

Intima media thickness is the main indicator of the heart disease, and it is one of the major criteria for early screening and diagnosis of heart diseases. In the proposed work, left and right common carotid artery (CCA) intima media thickness is measured by taking ultrasound image of heart. A multistep algorithm is presented based on Otsu’s thresholding to segment the carotid artery in the ultrasound image. The noises presented in the image are removed using filters such as Lee, Kuan, wavelet denoising, SRAD, and Kalman filters. Morphological operations enhance the carotid artery region, and it makes easy to measure the intima media thickness (IMT). Finally, the upper and lower intima media thickness range is measured accurately and the images are classified using the SVM and RBF classifiers which provide efficiency of 96 and 98%, respectively. The obtained efficiencies are more accurate compared to the existing one.

Keywords

Ultrasound imaging Common carotid artery Cardiovascular diseases (CVD) Intima media thickness (IMT) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.K. Ramakrishnan College of EngineeringTiruchirappalliIndia
  2. 2.Department of ECEK. Ramakrishnan College of EngineeringTiruchirappalliIndia

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