Conference proceeding
Texture analysis of pulmonary parenchyma in normal and emphysematous lung
Proceedings of SPIE, Vol.2709(1), pp.456-467
Medical Imaging 1996: Physiology and Function from Multidimensional Images
04/08/1996
DOI: 10.1117/12.237888
Abstract
Tissue characterization using texture analysis is gaining increasing importance in medical imaging. We present a completely automated method for discriminating between normal and emphysematous regions from CT images. This method involves extracting seventeen features which are based on statistical, hybrid and fractal texture models. The best subset of features is derived from the training set using the divergence technique. A minimum distance classifier is used to classify the samples into one of the two classes--normal and emphysema. Sensitivity and specificity and accuracy values achieved were 80% or greater in most cases proving that texture analysis holds great promise in identifying emphysema.
Details
- Title: Subtitle
- Texture analysis of pulmonary parenchyma in normal and emphysematous lung
- Creators
- Renuka Uppaluri - Univ. of Iowa (USA)Theophano Mitsa - Univ. of Iowa (USA)Eric A Hoffman - Univ. of Iowa College of Medicine (USA)Geoffrey McLennan - Univ. of Iowa College of Medicine (USA)Milan Sonka - Univ. of Iowa (USA)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.2709(1), pp.456-467
- Conference
- Medical Imaging 1996: Physiology and Function from Multidimensional Images
- DOI
- 10.1117/12.237888
- ISSN
- 0277-786X
- Language
- English
- Date published
- 04/08/1996
- 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
- 9984047722802771
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