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Proceedings Paper

Automatic segmentation of the bronchial tract from spiral CT data for virtual reality representation
Author(s): Dietrich Schuhmann; Mark Seemann; Michael Haubner; Christian Krapichler; Karl-Hans Englmeier
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Paper Abstract

Virtual bronchoscopy is one method using a virtual reality equipment to improve diagnostical information drawn from CT data. As a preprocessing step the bronchial tract has to be extracted from the data. Therefore a method has been developed, which allows automatic segmentation of the bronchial tract. In the preprocessing step a backbone to the bronchial tract is extracted, which allows using more sophisticated methods for segmentation. In the second step either minimal variance region growing or an Active Contour Model is used. The first one uses statistical information to extend the presegmented area according to the local greyvalue distribution. The second method automatically fits the predefined contour to the local gradient information.

Paper Details

Date Published: 24 June 1998
PDF: 10 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310869
Show Author Affiliations
Dietrich Schuhmann, National Research Ctr. for Environment and Health (Germany)
Mark Seemann, Ludwig-Maximilians-Univ. Munich (Germany)
Michael Haubner, National Research Ctr. for Environment and Health (Germany)
Christian Krapichler, National Research Ctr. for Environment and Health (Germany)
Karl-Hans Englmeier, National Research Ctr. for Environment and Health (Germany)


Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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