@inproceedings{94403e8bd970462585f999c246e90dd1,
title = "Automatic IVUS segmentation of atherosclerotic plaque with stop \& go snake",
abstract = "Since the upturn of intravascular ultrasound (IVUS) as an imaging technique for the coronary artery system, much research has been done to simplify the complicated analysis of the resulting images. In this study, an attempt to develop an automatic tissue characterization algorithm for IVUS images was done. The first step was the extraction of texture features. The resulting feature space was used for classification, constructing a likelihood map to represent different coronary plaques. The information in this map was organized using a recently developed geodesic snake formulation, the so-called Stop \& Go snake. The novelty of our study lies in this last step, as it was the first time to apply the Stop \& Go snake to segment IVUS images.",
author = "Ellen Brunenberg and Oriol Pujol and \{ter Haar Romeny\}, Bart and Petia Radeva",
year = "2006",
doi = "10.1007/11866763\_2",
language = "English",
isbn = "978-3-540-44727-6",
volume = "2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "9--16",
editor = "Rasmus Larsen and \{ Nielsen\}, Mads and Jon Sporring",
booktitle = "Medical Image Computing and Computer-Assisted Intervention {\textendash} MICCAI 2006. MICCAI 2006.",
address = "Germany",
note = "9th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), October 1-6, 2006, Copenhagen, Denmark, MICCAI 2006 ; Conference date: 01-10-2006 Through 06-10-2006",
}