Automatic segmentation of the bronchial tract from spiral CT data for virtual reality representation

Dietrich Schuhmann; Mark Seemann; Michael Haubner; Christian Krapichler; Karl-Hans Englmeier

doi:10.1117/12.310869

24 June 1998 Automatic segmentation of the bronchial tract from spiral CT data for virtual reality representation

Dietrich Schuhmann, Mark Seemann, Michael Haubner, Christian Krapichler, Karl-Hans Englmeier

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310869
Event: Medical Imaging '98, 1998, San Diego, CA, United States

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.

Citation Download Citation

Dietrich Schuhmann, Mark Seemann, Michael Haubner, Christian Krapichler, and Karl-Hans Englmeier "Automatic segmentation of the bronchial tract from spiral CT data for virtual reality representation", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310869

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