OSTHERSIT- Dataset for Osteoarthritis Analysis using Thermal Images
A Sabah Afroze1
, R Tamilselvi2* and M Parisa Beham3Department of ECE, Sethu Institute of Technology, Virudhunagar, Tamil nadu, India.
Corresponding Author E-mail: tamilselvi@sethu.ac.in
Abstract: Osteoarthritis (OA) is a disease categorized under arthritis and has impact on bone and cartilage dilapidation. Still now, OA is visualized only with X-ray and MRI scanning process. When a person exposed to X-rays will develop cancer later and it also causes tissue effects like cataracts, skin reddening and hair loss.To overcome this issue,a thermal camera(FLIR420bx) is used to capture the Knee OA from the subjects.The thermal imaging system is a non-contact,non-invasive passive imaging system that is the heat emmitted, or given off, by the human body.The medical evaluation of thermal images is validated and ground truth is received from skilled physicians which is time consuming and prone to error. Considering this fact, recently more image based diagnosis system is evolving for the early detection of OA. The success of this diagnosis system mostly relies on large number of OA/Non OA images to be trained. The novel dataset, titled as ‘Osthersit’, is a small seed thrown to afford OA thermal images of knee bones. It also consist OA affected images in thermograph modality. To have wider opening in many OA related ambiguity problems ,Osthersit dataset is made available to the researchers who work in the medical databases and can be retrieve from this web address: http://www.sethu.ac.in/osthersit/.
Keywords: FLIR toolbox; KL grading system; Thermal imaging; Osteoarthritis Back to TOC