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When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.SoCG.2017.65
URN: urn:nbn:de:0030-drops-72429
URL: http://drops.dagstuhl.de/opus/volltexte/2017/7242/
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Chen, Chao ; Metaxas, Dimitris ; Wang, Yusu ; Wu, Pengxiang

Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution)

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LIPIcs-SoCG-2017-65.pdf (2 MB)


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.

BibTeX - Entry

@InProceedings{chen_et_al:LIPIcs:2017:7242,
  author =	{Chao Chen and Dimitris Metaxas and Yusu Wang and Pengxiang Wu},
  title =	{{Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution)}},
  booktitle =	{33rd International Symposium on Computational Geometry (SoCG 2017)},
  pages =	{65:1--65:4},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-038-5},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{77},
  editor =	{Boris Aronov and Matthew J. Katz},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7242},
  URN =		{urn:nbn:de:0030-drops-72429},
  doi =		{10.4230/LIPIcs.SoCG.2017.65},
  annote =	{Keywords: image segmentation, trabeculae, persistent homology, homology localization}
}

Keywords: image segmentation, trabeculae, persistent homology, homology localization
Seminar: 33rd International Symposium on Computational Geometry (SoCG 2017)
Issue Date: 2017
Date of publication: 08.06.2017


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