Comprehensive approach to pulmonary image analysis

M Sonka

doi:10.1109/CBMS.2004.1311681

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Conference proceeding

Comprehensive approach to pulmonary image analysis

M Sonka

Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems, p.2

2004

DOI: 10.1109/CBMS.2004.1311681

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Abstract

Results of the ongoing medical image analysis project leading towards development of a comprehensive suite of methods and tools for quantitative pulmonary image analysis from multi-detector CT image data are presented. This includes methodology for segmentation of lung, lung lobe, bronchial tree and vascular tree, together with methods for quantitative analysis of the segmented structures. Methods for matching of structures over time that allow longitudinal comparisons of the measured quantitative indices are discussed. In addition, texture analysis and pattern recognition techniques used for tissue characterization of pulmonary parenchyma, and validation results, are reported. The future directions of quantitative and highly automated approaches to pulmonary image analysis are addressed.

Biomedical imaging

Diseases

Drugs

Educational institutions

Image analysis

Image segmentation

Image texture analysis

Life estimation

Lungs

Sensitivity and specificity

Details

Title: Subtitle: Comprehensive approach to pulmonary image analysis
Creators: M Sonka - Coll. of Eng., Iowa Univ., Iowa City, IA, USA
Resource Type: Conference proceeding
Publication Details: Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems, p.2
DOI: 10.1109/CBMS.2004.1311681
ISSN: 1063-7125
Publisher: IEEE
Language: English
Date published: 2004
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984186930002771

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