Conference proceeding
Quantitative Analysis of Intrathoracic Airway Trees: Methods and Validation
Information Processing in Medical Imaging, pp.222-233
Lecture Notes in Computer Science
2003
DOI: 10.1007/978-3-540-45087-0_19
Abstract
A method for quantitative assessment of tree structures is reported allowing evaluation of airway or vascular tree morphology and its associated function. Our skeletonization and branch-point identification method provides a basis for tree quantification or tree matching, tree-branch diameter measurement in any orientation, and labeling individual branch segments. All main components of our method were specifically developed to deal with imaging artifacts typically present in volumetric medical image data. The proposed method has been tested in 343 computer phantom instances subjected to changes of its orientation as well as in a repeatedly CT-scanned rubber plastic phantom width sub-voxel accuracy and high reproducibility. Application to 35 human in vivo trees yielded reliable and well-positioned centerlines and branch-points.
Details
- Title: Subtitle
- Quantitative Analysis of Intrathoracic Airway Trees: Methods and Validation
- Creators
- Kálmán PalágyiJuerg TschirrenMilan Sonka
- Resource Type
- Conference proceeding
- Publication Details
- Information Processing in Medical Imaging, pp.222-233
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-540-45087-0_19
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Language
- English
- Date published
- 2003
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047770502771
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