Pain related inflammation analysis using infrared images

Mrinal Kanti Bhowmik; Shawli Bardhan; Kakali Das; Debotosh Bhattacharjee; Satyabrata Nath

doi:10.1117/12.2223425

11 May 2016 Pain related inflammation analysis using infrared images

Mrinal Kanti Bhowmik, Shawli Bardhan, Kakali Das, Debotosh Bhattacharjee, Satyabrata Nath

Proceedings Volume 9861, Thermosense: Thermal Infrared Applications XXXVIII; 986116 (2016) https://doi.org/10.1117/12.2223425
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

Medical Infrared Thermography (MIT) offers a potential non-invasive, non-contact and radiation free imaging modality for assessment of abnormal inflammation having pain in the human body. The assessment of inflammation mainly depends on the emission of heat from the skin surface. Arthritis is a disease of joint damage that generates inflammation in one or more anatomical joints of the body. Osteoarthritis (OA) is the most frequent appearing form of arthritis, and rheumatoid arthritis (RA) is the most threatening form of them. In this study, the inflammatory analysis has been performed on the infrared images of patients suffering from RA and OA. For the analysis, a dataset of 30 bilateral knee thermograms has been captured from the patient of RA and OA by following a thermogram acquisition standard. The thermograms are pre-processed, and areas of interest are extracted for further processing. The investigation of the spread of inflammation is performed along with the statistical analysis of the pre-processed thermograms. The objectives of the study include: i) Generation of a novel thermogram acquisition standard for inflammatory pain disease ii) Analysis of the spread of the inflammation related to RA and OA using K-means clustering. iii) First and second order statistical analysis of pre-processed thermograms. The conclusion reflects that, in most of the cases, RA oriented inflammation affects bilateral knees whereas inflammation related to OA present in the unilateral knee. Also due to the spread of inflammation in OA, contralateral asymmetries are detected through the statistical analysis.

Citation Download Citation

Mrinal Kanti Bhowmik, Shawli Bardhan, Kakali Das, Debotosh Bhattacharjee, and Satyabrata Nath "Pain related inflammation analysis using infrared images", Proc. SPIE 9861, Thermosense: Thermal Infrared Applications XXXVIII, 986116 (11 May 2016); https://doi.org/10.1117/12.2223425

ACCESS THE FULL ARTICLE