Journal article
Quantitative analysis of pulmonary airway tree structures
Computers in biology and medicine, Vol.36(9), pp.974-996
2006
DOI: 10.1016/j.compbiomed.2005.05.004
PMID: 16076463
Abstract
A method for computationally efficient skeletonization of three-dimensional tubular structures is reported. The method is specifically targeting skeletonization of vascular and airway tree structures in medical images but it is general and applicable to many other skeletonization tasks. The developed approach builds on the following novel concepts and properties: fast curve-thinning algorithm to increase computational speed, endpoint re-checking to avoid generation of spurious side branches, depth-and-length sensitive pruning, and exact tree-branch partitioning allowing branch volume and surface measurements. The method was validated in computer and physical phantoms and in vivo CT scans of human lungs. The validation studies demonstrated sub-voxel accuracy of branch point positioning, insensitivity to changes of object orientation, and high reproducibility of derived quantitative indices of the tubular structures offering a significant improvement over previously reported methods
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Details
- Title: Subtitle
- Quantitative analysis of pulmonary airway tree structures
- Creators
- Kálmán Palágyi - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, USAJuerg Tschirren - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, USAEric A Hoffman - Department of Biomedical Engineering, The University of Iowa, Iowa City, IA 52242, USAMilan Sonka - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- Computers in biology and medicine, Vol.36(9), pp.974-996
- DOI
- 10.1016/j.compbiomed.2005.05.004
- PMID
- 16076463
- NLM abbreviation
- Comput Biol Med
- ISSN
- 0010-4825
- eISSN
- 1879-0534
- Publisher
- Elsevier Ltd
- Language
- English
- Date published
- 2006
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047791902771
Metrics
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