Detection of rheumatoid arthritis using infrared imaging

Monique Frize; Cynthia Adéa; Pierre Payeur; Gina Di Primio M.D.; Jacob Karsh; Abiola Ogungbemile

doi:10.1117/12.874552

10 March 2011 Detection of rheumatoid arthritis using infrared imaging

Monique Frize, Cynthia Adéa, Pierre Payeur, Gina Di Primio M.D., Jacob Karsh, Abiola Ogungbemile

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79620M (2011) https://doi.org/10.1117/12.874552
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Rheumatoid arthritis (RA) is an inflammatory disease causing pain, swelling, stiffness, and loss of function in joints; it is difficult to diagnose in early stages. An early diagnosis and treatment can delay the onset of severe disability. Infrared (IR) imaging offers a potential approach to detect changes in degree of inflammation. In 18 normal subjects and 13 patients diagnosed with Rheumatoid Arthritis (RA), thermal images were collected from joints of hands, wrists, palms, and knees. Regions of interest (ROIs) were manually selected from all subjects and all parts imaged. For each subject, values were calculated from the temperature measurements: Mode/Max, Median/Max, Min/Max, Variance, Max-Min, (Mode-Mean), and Mean/Min. The data sets did not have a normal distribution, therefore non parametric tests (Kruskal-Wallis and Ranksum) were applied to assess if the data from the control group and the patient group were significantly different. Results indicate that: (i) thermal images can be detected on patients with the disease; (ii) the best joints to image are the metacarpophalangeal joints of the 2^nd and 3^rd fingers and the knees; the difference between the two groups was significant at the 0.05 level; (iii) the best calculations to differentiate between normal subjects and patients with RA are the Mode/Max, Variance, and Max-Min. We concluded that it is possible to reliably detect RA in patients using IR imaging. Future work will include a prospective study of normal subjects and patients that will compare IR results with Magnetic Resonance (MR) analysis.

Citation Download Citation

Monique Frize, Cynthia Adéa, Pierre Payeur, Gina Di Primio M.D., Jacob Karsh, and Abiola Ogungbemile "Detection of rheumatoid arthritis using infrared imaging", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79620M (10 March 2011); https://doi.org/10.1117/12.874552

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