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Proceedings Paper

Computer-assisted detection (CAD) methodology for early detection of response to pharmaceutical therapy in tuberculosis patients
Author(s): Robert Lieberman; Heston Kwong; Brent Liu; H. K. Huang
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Paper Abstract

The chest x-ray radiological features of tuberculosis patients are well documented, and the radiological features that change in response to successful pharmaceutical therapy can be followed with longitudinal studies over time. The patients can also be classified as either responsive or resistant to pharmaceutical therapy based on clinical improvement. We have retrospectively collected time series chest x-ray images of 200 patients diagnosed with tuberculosis receiving the standard pharmaceutical treatment. Computer algorithms can be created to utilize image texture features to assess the temporal changes in the chest x-rays of the tuberculosis patients. This methodology provides a framework for a computer-assisted detection (CAD) system that may provide physicians with the ability to detect poor treatment response earlier in pharmaceutical therapy. Early detection allows physicians to respond with more timely treatment alternatives and improved outcomes. Such a system has the potential to increase treatment efficacy for millions of patients each year.

Paper Details

Date Published: 27 February 2009
PDF: 8 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 726030 (27 February 2009); doi: 10.1117/12.813583
Show Author Affiliations
Robert Lieberman, Univ. of Southern California (United States)
Heston Kwong, Dept. of Health, Hong Kong Special Administrative Government (Hong Kong, China)
Brent Liu, Univ. of Southern California (United States)
H. K. Huang, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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