@inproceedings{d2fa7c90e9c443dc83cbde7647a7a02c,
title = "Cardiac trabeculae segmentation: An application of computational topology",
abstract = "In this video, we present a research project on cardiac trabeculae segmentation. Trabeculae are fine muscle columns within human ventricles whose both ends are attached to the wall. Extracting these structures are very challenging even with state-of-the-art image segmentation techniques. We observed that these structures form natural topological handles. Based on such observation, we developed a topological approach, which employs advanced computational topology methods and achieve high quality segmentation results.",
keywords = "Homology localization, Image segmentation, Persistent homology, Trabeculae",
author = "Chao Chen and Dimitris Metaxas and Yusu Wang and Pengxiang Wu",
year = "2017",
month = jun,
day = "1",
doi = "10.4230/LIPIcs.SoCG.2017.65",
language = "English",
series = "Leibniz International Proceedings in Informatics, LIPIcs",
publisher = "Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing",
pages = "651--654",
editor = "Katz, \{Matthew J.\} and Boris Aronov",
booktitle = "33rd International Symposium on Computational Geometry, SoCG 2017",
note = "33rd International Symposium on Computational Geometry, SoCG 2017 ; Conference date: 04-07-2017 Through 07-07-2017",
}