Conference proceeding
Computer-based objective quantitative assessment of pulmonary parenchyma via x-ray CT
Proceedings of SPIE, Vol.3337(1), pp.377-383
Medical Imaging 1998: Physiology and Function from Multidimensional Images
07/03/1998
DOI: 10.1117/12.312585
Abstract
This paper is a review of our recent studies using a texture- based tissue characterization method called the Adaptive Multiple Feature Method. This computerized method is automated and performs tissue classification based upon the training acquired on a set of representative examples. The AMFM has been applied to several different discrimination tasks including normal subjects, subjects with interstitial lung disease, smokers, asbestos-exposed subjects, and subjects with cystic fibrosis. The AMFM has also been applied to data acquired using different scanners and scanning protocols. The AMFM has shown to be successful and better than other existing techniques in discriminating the tissues under consideration. We demonstrate that the AMFM is considerably more sensitive and specific in characterizing the lung, especially in the presence of mixed pathology, as compared to more commonly used methods. Evidence is presented suggesting that the AMFM is highly sensitive to some of the earliest disease processes.
Details
- Title: Subtitle
- Computer-based objective quantitative assessment of pulmonary parenchyma via x-ray CT
- Creators
- Renuka Uppaluri - Univ. of Iowa College of Medicine (USA)Geoffrey McLennan - Univ. of Iowa College of Medicine (USA)Milan Sonka - Univ. of Iowa (USA)Eric A Hoffman - Univ. of Iowa College of Medicine and Univ. of Iowa (USA)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.3337(1), pp.377-383
- Conference
- Medical Imaging 1998: Physiology and Function from Multidimensional Images
- DOI
- 10.1117/12.312585
- ISSN
- 0277-786X
- Language
- English
- Date published
- 07/03/1998
- 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
- 9984047793502771
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