Segmentation of intrathoracic airway trees: a fuzzy logic approach

W Park; E.A Hoffman; M Sonka

doi:10.1109/42.730394

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Segmentation of intrathoracic airway trees: a fuzzy logic approach

Journal article

Peer reviewed

Segmentation of intrathoracic airway trees: a fuzzy logic approach

W Park, E.A Hoffman and M Sonka

IEEE transactions on medical imaging, Vol.17(4), pp.489-497

08/1998

DOI: 10.1109/42.730394

PMID: 9845305

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Abstract

Three-dimensional (3-D) analysis of airway trees extracted from computed tomography (CT) image data can provide objective information about lung structure and function. However, manual analysis of 3-D lung CT images is tedious, time consuming and, thus, impractical for routine clinical care. The authors have previously reported an automated rule-based method for extraction of airway trees from 3-D CT images using a priori knowledge about airway-tree anatomy. Although the method's sensitivity was quite good, its specificity suffered from a large number of falsely detected airways. The authors present a new approach to airway-tree detection based on fuzzy logic that increases the method's specificity without compromising its sensitivity. The method was validated in 32 CT image slices randomly selected from five volumetric canine electron-beam CT data sets. The fuzzy-logic method significantly outperformed the previously reported rule-based method (p<0.002).

Fuzzy logic

Image segmentation

In vivo

Image analysis

Computed tomography

Lungs

Cities and towns

Data mining

Anatomy

Information analysis

Details

Title: Subtitle: Segmentation of intrathoracic airway trees: a fuzzy logic approach
Creators: W Park - Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
E.A Hoffman
M Sonka
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.17(4), pp.489-497
DOI: 10.1109/42.730394
PMID: 9845305
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers
Language: English
Date published: 08/1998
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Internal Medicine; Ophthalmology and Visual Sciences
Record Identifier: 9984047724202771

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