Journal article
Matching and anatomical labeling of human airway tree
IEEE transactions on medical imaging, Vol.24(12), pp.1540-1547
12/2005
DOI: 10.1109/TMI.2005.857653
PMCID: PMC2077841
PMID: 16353371
Abstract
Matching of corresponding branchpoints between two human airway trees, as well as assigning anatomical names to the segments and branchpoints of the human airway tree, are of significant interest for clinical applications and physiological studies. In the past these tasks were often performed manually due to the lack of automated algorithms that can tolerate false branches and anatomical variability typical for in vivo trees. In this paper we present algorithms that perform both matching of branchpoints and anatomical labeling of in vivo trees without any human intervention and within a short computing time. No hand-pruning of false branches is required. The results from the automated methods show a high degree of accuracy when validated against reference data provided by human experts. 92.9% of the verifiable branchpoint matches found by the computer agree with experts’ results. For anatomical labeling, 97.1% of the automatically assigned segment labels were found to be correct.
Details
- Title: Subtitle
- Matching and anatomical labeling of human airway tree
- Creators
- Juerg Tschirren - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USAGeoffrey McLennan - University of Iowa, Dept. of Radiology, Iowa City, IA, USAKálmán Palágyi - Department of Image Processing and Computer Graphics, University of Szeged, HungaryEric A Hoffman - University of Iowa, Dept. of Radiology, Iowa City, IA, USAMilan Sonka - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA (email
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on medical imaging, Vol.24(12), pp.1540-1547
- DOI
- 10.1109/TMI.2005.857653
- PMID
- 16353371
- PMCID
- PMC2077841
- NLM abbreviation
- IEEE Trans Med Imaging
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Publisher
- Institute of Electrical and Electronics Engineers
- Language
- English
- Date published
- 12/2005
- 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
- 9984046833902771
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