Computer-assisted detection (CAD) methodology for early detection of response to pharmaceutical therapy in tuberculosis patients

Robert Lieberman; Heston Kwong; Brent Liu; H. K. Huang

doi:10.1117/12.813583

27 February 2009 Computer-assisted detection (CAD) methodology for early detection of response to pharmaceutical therapy in tuberculosis patients

Robert Lieberman, Heston Kwong, Brent Liu, H. K. Huang

Author Affiliations +

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 726030 (2009) https://doi.org/10.1117/12.813583
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

Robert Lieberman, Heston Kwong, Brent Liu, and H. K. Huang "Computer-assisted detection (CAD) methodology for early detection of response to pharmaceutical therapy in tuberculosis patients", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 726030 (27 February 2009); https://doi.org/10.1117/12.813583

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available