• DocumentCode
    3667854
  • Title

    Segmentation and detection of media adventitia coronary artery boundary in medical imaging intravascular ultrasound using otsu thresholding

  • Author

    Hannah Sofian;Joel C. M. Than;Norliza Mohd Noor;Hassan Dao

  • Author_Institution
    UTM Razak School of Engineering and Advanced Technology, University Technology Malaysia Kuala Lumpur Campus, Jalan Sultan Yahya Petra, 54100, Malaysia
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    72
  • Lastpage
    76
  • Abstract
    In this paper we present an automated segmentation method to detect the boundary between adventitia and media on the cross sectional view of the artery of patients who have plaques. The problem encounter is that the boundaries of the adventitia, media, intima and lumen are embedded when plaques exist. Moreover, the artery disease has damaged the tissue layers. This paper proposed a method in segmenting and detecting the outer boundary which is the media adventitia area of the artery using intravascular ultrasound (IVUS) images. The proposed method for segmentation is to use Otsu thresholding, followed by empirical thresholding and binary - morphological operation. The data used in this study was 10 samples from dataset B of IVUS images, courtesy of Simone Balocco (Training set, Computer Vision Center, Bellaterra, Universitat de Barcelona, Dept. Matemàtica Aplicada i Anàlisi, Barcelona). The proposed method shows promising result in detecting and segmenting the media adventitia boundary of the IVUS images.
  • Keywords
    "Image segmentation","Arteries","Media","Ultrasonic imaging","Biomedical imaging","Diseases","Heart"
  • Publisher
    ieee
  • Conference_Titel
    BioSignal Analysis, Processing and Systems (ICBAPS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICBAPS.2015.7292221
  • Filename
    7292221