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Atherosclerotic Plaque Detection Using Intravascular Ultrasound (IVUS) Images

  • A. Hari PriyaEmail author
  • R. Vanithamani
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

The atherosclerotic plaque deposition in artery is a type of cardiovascular disease and is a major factor of death. Mostly larger and high-pressure vessels such as the femoral, cerebral, renal, coronary, and carotid arteries are influenced by atherosclerosis. Hence, the characterization of plaque distribution and its liability to rupture are mandatory to judge the degree of risk and to schedule the treatment. Intravascular ultrasound (IVUS) is an ultrasound imaging modality which uses a unique catheter. The catheter will be provided with an ultrasound probe which is miniaturized and is connected to the lateral end. In this paper, segmentation of the IVUS image using fast marching method (FMM) is done and will be followed by the feature extraction. Feature extraction methods such as local binary pattern (LBP), speeded up robust feature (SURF), and histogram of oriented gradients (HOG) are used and the resulting image is classified using Euclidean distance classifier. By comparing the results of subjected feature extraction techniques, LBP method is found suitable for the detection of atherosclerotic plaque.

Keywords

Intravascular ultrasound (IVUS) Atherosclerosis Fast marching method (FMM) Local binary pattern (LBP) Euclidean distance classifier 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Medical ElectronicsAvinashilingam Institute for Home Science and Higher Education for WomenCoimbatoreIndia
  2. 2.Biomedical Instrumentation EngineeringAvinashilingam Institute for Home Science and Higher Education for WomenCoimbatoreIndia

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