@inproceedings{c118a3c1cf794e6aa727efc2ef22a7ed,
title = "Automatical vessel wall detection in intravascular coronary OCT",
abstract = "The aim of this study is to automatically detect the boundary of vessel walls in optical coherence tomography (OCT) sequences. We developed a new method to eliminate guide-wire shadow artifacts and accurately estimate the vessel wall. The estimation of the position of the guide-wire is the key concept for the elimination of guide-wire shadow artifacts. After identification of the artifacts we propose a geometrically-based method which can be applied to OCT cross-section images to remove the artifacts. The segmentation approach is based on a novel combination of expectation maximization (EM) based segmentation and graph cut (GC) based segmentation. Validation is performed using simulated data and 4 typical in vivo OCT sequences. The comparison against manual expert segmentation demonstrates that the proposed vessel wall identification is robust and accurate.",
keywords = "Active Contour, Convex Hull, Expectation Maximization, Graph Cuts, OCT, Vessel Wall Detection",
author = "Tung, {Kai Pin} and Shi, {Wen Zhe} and {De Silva}, Ranil and Eddie Edwards and Daniel Rueckert",
year = "2011",
doi = "10.1109/ISBI.2011.5872481",
language = "English",
isbn = "9781424441280",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "610--613",
booktitle = "2011 8th IEEE International Symposium on Biomedical Imaging",
note = "2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 ; Conference date: 30-03-2011 Through 02-04-2011",
}