Journal article
A digital reference model of the human bronchial tree
Computerized medical imaging and graphics, v 28(4), pp 203-211
2004
PMID: 15121209
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In-vitro preparations of the human lung combined with high-resolution tomography can be used to derive precise models of the human lung. To develop an abstract graph representation, specially adapted image processing algorithms were applied to segment and delineate the bronchi. The graph thus obtained contains topological information about spatial coordinates, connectivities, diameters and branching angles of 1453 bronchi up to the 17th Horsfield order. The graph was analyzed for statistical and fractal properties and was compared with current models. Results indicate a model that exhibits asymmetry and multifractal properties. This newly established reference model is an important step forward in geometrical accuracy of the bronchial tree representation that will improve both analysis of lung images in clinical imaging and the realism of functional simulations.
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Details
- Title
- A digital reference model of the human bronchial tree
- Creators
- Andreas Schmidt - University of GiessenStephan Zidowitz - Center for Medical Diagnostic Systems and Visualization (MeVis), Universitätsallee 29, 28359 Bremen, GermanyAndres Kriete - Justus-Liebig-Universität GießenThorsten Denhard - University of GiessenStefan Krass - Center for Medical Diagnostic Systems and Visualization (MeVis), Universitätsallee 29, 28359 Bremen, GermanyHeinz-Otto Peitgen - Center for Medical Diagnostic Systems and Visualization (MeVis), Universitätsallee 29, 28359 Bremen, Germany
- Publication Details
- Computerized medical imaging and graphics, v 28(4), pp 203-211
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000221572100004
- Scopus ID
- 2-s2.0-2342655214
- Other Identifier
- 991019169576204721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical
- Radiology, Nuclear Medicine & Medical Imaging