Conference proceeding
Assessment of Intrathoracic Airway Trees: Methods and In Vivo Validation
Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis, pp.341-352
Lecture Notes in Computer Science
2004
DOI: 10.1007/978-3-540-27816-0_29
Abstract
A method for quantitative assessment of tree structures is reported allowing evaluation of airway 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 a computer phantom subjected to changes of its orientation as well as in repeatedly CT-scanned rigid and rubber plastic phantoms. In this paper, validation is reported in six in vivo scans of the human chest.
Details
- Title: Subtitle
- Assessment of Intrathoracic Airway Trees: Methods and In Vivo Validation
- Creators
- Kálmán PalágyiJuerg TschirrenEric A HoffmanMilan Sonka
- Resource Type
- Conference proceeding
- Publication Details
- Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis, pp.341-352
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-540-27816-0_29
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Language
- English
- Date published
- 2004
- 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
- 9984047665702771
Metrics
26 Record Views