TY - CONF AU - Debora Gil AU - Petia Radeva AU - Jordi Saludes AU - Josefina Mauri PY - 2000// TI - Automatic Segmentation of Artery Wall in Coronary IVUS Images: A Probabilistic Approach BT - International Conference on Pattern Recognition SP - 352 EP - 355 VL - 4 N2 - 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. UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.1687 L1 - http://refbase.cvc.uab.es/files/GRS2000a.pdf N1 - IAM;MILAB ID - Debora Gil2000 ER -