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Method for 3D Airway Topology Extraction
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) tomogr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4341850/ https://www.ncbi.nlm.nih.gov/pubmed/25767561 http://dx.doi.org/10.1155/2015/127010 |
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author | Grothausmann, Roman Kellner, Manuela Heidrich, Marko Lorbeer, Raoul-Amadeus Ripken, Tammo Meyer, Heiko Kuehnel, Mark P. Ochs, Matthias Rosenhahn, Bodo |
author_facet | Grothausmann, Roman Kellner, Manuela Heidrich, Marko Lorbeer, Raoul-Amadeus Ripken, Tammo Meyer, Heiko Kuehnel, Mark P. Ochs, Matthias Rosenhahn, Bodo |
author_sort | Grothausmann, Roman |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4341850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-43418502015-03-12 Method for 3D Airway Topology Extraction Grothausmann, Roman Kellner, Manuela Heidrich, Marko Lorbeer, Raoul-Amadeus Ripken, Tammo Meyer, Heiko Kuehnel, Mark P. Ochs, Matthias Rosenhahn, Bodo Comput Math Methods Med Research Article 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. Hindawi Publishing Corporation 2015 2015-02-12 /pmc/articles/PMC4341850/ /pubmed/25767561 http://dx.doi.org/10.1155/2015/127010 Text en Copyright © 2015 Roman Grothausmann et al. https://creativecommons.org/licenses/by/3.0/ 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. |
spellingShingle | Research Article Grothausmann, Roman Kellner, Manuela Heidrich, Marko Lorbeer, Raoul-Amadeus Ripken, Tammo Meyer, Heiko Kuehnel, Mark P. Ochs, Matthias Rosenhahn, Bodo Method for 3D Airway Topology Extraction |
title | Method for 3D Airway Topology Extraction |
title_full | Method for 3D Airway Topology Extraction |
title_fullStr | Method for 3D Airway Topology Extraction |
title_full_unstemmed | Method for 3D Airway Topology Extraction |
title_short | Method for 3D Airway Topology Extraction |
title_sort | method for 3d airway topology extraction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4341850/ https://www.ncbi.nlm.nih.gov/pubmed/25767561 http://dx.doi.org/10.1155/2015/127010 |
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