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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 127010, 7 pages
Research Article

Method for 3D Airway Topology Extraction

1Institute of Functional and Applied Anatomy, Hannover Medical School, Hannover, Germany
2REBIRTH Cluster of Excellence, Hannover, Germany
3Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research (DZL), Hannover, Germany
4Biomedical Optics Department, Laser Zentrum Hannover e.V., Hannover, Germany
5Department of Cardiothoracic, Transplantation and Vascular Surgery (HTTG), Hannover Medical School, Hannover, Germany
6Institut für Informationsverarbeitung, Leibniz University Hannover, Hannover, Germany

Received 28 November 2014; Revised 16 January 2015; Accepted 17 January 2015

Academic Editor: Akimasa Hirata

Copyright © 2015 Roman Grothausmann et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Mengliu Zhao, Brandon Miles, and Ghassan Hamarneh, “Leveraging Tree Statistics for Extracting Anatomical Trees from 3D Medical Images,” 2017 14th Conference on Computer and Robot Vision (CRV), pp. 131–138, . View at Publisher · View at Google Scholar
  • Richard Gruetzemacher, Ramesh Pankajakshan, and Abi Arabshahi, “Effects of inhalation transience on particle transport through A CT-based human airway geometry,” ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), vol. 3-2015, 2015. View at Publisher · View at Google Scholar