By Topic

Pathophysiological expression and analysis of far infrared thermal images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
I. Fujimas ; Nat. Graduate Inst. for Policy Studies Tokyo

Clinical far infrared (FIR) imaging is a measurement technique applied to images of temperature distribution on the skin surface. It is a noninvasive analysis tool for physiological functions related to skin-temperature control. The imaging modality has been termed thermography, tele-thermography, or infrared thermography. FIR image processing for medical use has been developed independently in each thermography system because each sensor and scanning system was developed independently. The lack of standardized image handling has been a great barrier to the popular use of FIR imaging systems in clinical medicine. However, recent FIR sensor technology has brought forth some standard output protocols. Therefore, there is now a better opportunity to develop standard FIR image-processing software for medical imaging. This article is the first proposal for such trials. Computer processing methods have been developed and tested that make it possible to reduce diagnostic ambiguity and complexity. This article proposes eight thermophysiological expressions, called thermatomes, as well as standardized analytical procedures using computed image processing. These methods have demonstrated the possibility of a standardized thermographic image diagnosis procedure

Published in:

IEEE Engineering in Medicine and Biology Magazine  (Volume:17 ,  Issue: 4 )