PT Unknown
AU Debora Gil
   Petia Radeva
   Jordi Saludes
   Josefina Mauri
TI Automatic Segmentation of Artery Wall in Coronary IVUS Images: a Probabilistic Approach
BT Proceedings of CIC’2000
PY 2000
AB 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.
PI Cambridge, Massachussets
ER