%0 Conference Proceedings
%T Automatic Segmentation of Artery Wall in Coronary IVUS Images: A Probabilistic Approach
%A Debora Gil
%A Petia Radeva
%A Jordi Saludes
%A Josefina Mauri
%B International Conference on Pattern Recognition
%D 2000
%V 4
%F Debora Gil2000
%O IAM;MILAB
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1537), last updated on Fri, 11 Nov 2016 12:18:55 +0100
%X Intravascular ultrasound images represent a unique tool to analyze the morphology of arteries and vessels (plaques, restenosis, etc). The poor quality of these images makes unsupervised segmentation based on traditional segmentation algorithms (such as edge or ridge/valley detection) fail to achieve the expected results. In this paper we present a probabilistic flexible template to separate different regions in the image. In particular, we use elliptic templates to model and detect the shape of the vessel inner wall in IVUS images. We present the results of successful segmentation obtained from patients undergoing stent treatment. A physician team has validated these results.
%U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.1687
%U http://refbase.cvc.uab.es/files/GRS2000a.pdf
%P 352-355