Presentation + Paper
17 February 2020 Optimizing and calibration of thermal a camera for ocular surface imaging
Author Affiliations +
Abstract
The human body constantly undergoes heat exchange with the environment, and that can be imaged well by thermal imaging. Some application of thermal imaging is in neurology, vascular disorders, rheumatic diseases, oncology, dentistry, and ophthalmology. Every activity described above has unique characteristics. The temperature range for inflammatory condition of the human skin varies significantly from that of an ocular surface. Specific to ophthalmology, the thermal imaging should be able to capture the subtle changes of ocular surface temperature. The existing thermal sensors used in most ophthalmic studies have a dynamic range from -20°C to 350°C and accuracy of 2°C. This paper talks about the development and calibration of a new sensor with optimization in the desired dynamic range and its demonstration for capturing the ocular surface temperature.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Palash Patodi, Utkarsha Dasamantarao, Ashutosh Richhariya, Tarun Batra, and Adoni Jayaram "Optimizing and calibration of thermal a camera for ocular surface imaging", Proc. SPIE 11231, Design and Quality for Biomedical Technologies XIII, 1123106 (17 February 2020); https://doi.org/10.1117/12.2545402
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KEYWORDS
Calibration

Cameras

Thermography

Black bodies

Imaging systems

Sensors

Minimum resolvable temperature difference

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