Conference proceeding
Fuzzy logic approach to extraction of intrathoracic airway trees from three-dimensional CT images
Proceedings of SPIE, Vol.2710(1), pp.210-219
Medical Imaging 1996: Image Processing
04/16/1996
DOI: 10.1117/12.237925
Abstract
Accurate assessment of intrathoracic airway physiology requires sophisticated imaging and image segmentation of the three-dimensional airway tree structure. We have previously reported a rule-based method for three-dimensional airway tree segmentation from electron beam CT (EBCT) images. Here we report a new approach to airway tree segmentation in which fuzzy logic is used for image interpretation. In canine EBCT images, airways identified by the fuzzy logic method matched 276/337 observer-defined airways (81.9%) while the fuzzy method failed to detect the airways in the remaining 61 observer-determined locations (18.1%). By comparing the performance of the new fuzzy logic method and that of our former rule-based method, the fuzzy logic method significantly decreased the number of false airways (p less than 0.001).
Details
- Title: Subtitle
- Fuzzy logic approach to extraction of intrathoracic airway trees from three-dimensional CT images
- Creators
- Wonkyu Park - Univ. of Iowa (USA)Eric A Hoffman - Univ. of Iowa (USA)Milan Sonka - Univ. of Iowa (USA)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.2710(1), pp.210-219
- Conference
- Medical Imaging 1996: Image Processing
- DOI
- 10.1117/12.237925
- ISSN
- 0277-786X
- Language
- English
- Date published
- 04/16/1996
- 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
- 9984047985202771
Metrics
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