Artery Wall Extraction from Intravascular OCT Images

  • Authors:

  • Rafik Bourezak;Guy Lamouche;Farida Cheriet

  • Affiliations:

  • Department of Computer Engineering, École Polytechnique de Montréal, Montréal H3T 1J4 and Industrial Materials Institute, National Research Council of Canada, Boucherville J4B 6Y4;Industrial Materials Institute, National Research Council of Canada, Boucherville J4B 6Y4 and Department of Engineering Physics, École Polytechnique de Montréal, Montréal H3T 1J4;Department of Computer Engineering, École Polytechnique de Montréal, Montréal H3T 1J4

  • Venue:
  • ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this article, we present a new method to extract internal and external borders (intimal-adventitial) of arteries from Optical Coherence Tomography (OCT) images. The method is based on A-scan segmentation. First, the distribution of the grey level values on every A-scan is analyzed separately using a sliding window to approximate a single-lobe distribution. Our hypothesis is that the position of the arterial tissue corresponds to the window which exhibits the largest single-lobe distribution. Once all the tissue is extracted from the image, every segmented A-scan position is corrected using a block of neighbouring segmented A-scans. Experimental results show that the proposed method is accurate and robust to extract arterial tissue.