Method for 3D airway topology extraction

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Grothausmann, R.; Kellner, M.; Heidrich, M.; Lorbeer, R.-A.; Ripken, T. et al.: Method for 3D airway topology extraction. In: Computational and Mathematical Methods in Medicine 2015 (2015), 127010. DOI: http://dx.doi.org/10.1155/2015/127010

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/620

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Sum total of downloads: 255




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Abstract: 
In lungs the number of conducting airway generations as well as bifurcation patterns varies across species and shows specific characteristics relating to illnesses or gene variations. A method to characterize the topology of the mouse airway tree using scanning laser optical tomography (SLOT) tomograms is presented in this paper. It is used to test discrimination between two types of mice based on detected differences in their conducting airway pattern. Based on segmentations of the airways in these tomograms, the main spanning tree of the volume skeleton is computed. The resulting graph structure is used to distinguish between wild type and surfactant protein (SP-D) deficient knock-out mice.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 166 65.10%
2 image of flag of United States United States 34 13.33%
3 image of flag of China China 9 3.53%
4 image of flag of Sweden Sweden 8 3.14%
5 image of flag of Russian Federation Russian Federation 7 2.75%
6 image of flag of France France 6 2.35%
7 image of flag of No geo information available No geo information available 5 1.96%
8 image of flag of Australia Australia 3 1.18%
9 image of flag of Ireland Ireland 2 0.78%
10 image of flag of Czech Republic Czech Republic 2 0.78%
    other countries 13 5.10%

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