Quantitative assessment of pain-related thermal dysfunction through clinical digital infrared thermal imaging

BACKGROUND: The skin temperature distribution of a healthy human body exhibits a contralateral symmetry. Some nociceptive and most neuropathic pain pathologies are associated with an alteration of the thermal distribution of the human body. Since the dissipation of heat through the skin occurs for the most part in the form of infrared radiation, infrared thermography is the method of choice to study the physiology of thermoregulation and the thermal dysfunction associated with pain. Assessing thermograms is a complex and subjective task that can be greatly facilitated by computerised techniques. METHODS: This paper presents techniques for automated computerised assessment of thermal images of pain, in order to facilitate the physician's decision making. First, the thermal images are pre-processed to reduce the noise introduced during the initial acquisition and to extract the irrelevant background. Then, potential regions of interest are identified using fixed dermatomal subdivisions of the body, isothermal analysis and segmentation techniques. Finally, we assess the degree of asymmetry between contralateral regions of interest using statistical computations and distance measures between comparable regions. RESULTS: The wavelet domain-based Poisson noise removal techniques compared favourably against Wiener and other wavelet-based denoising methods, when qualitative criteria were used. It was shown to improve slightly the subsequent analysis. The automated background removal technique based on thresholding and morphological operations was successful for both noisy and denoised images with a correct removal rate of 85% of the images in the database. The automation of the regions of interest (ROIs) delimitation process was achieved successfully for images with a good contralateral symmetry. Isothermal division complemented well the fixed ROIs division based on dermatomes, giving a more accurate map of potentially abnormal regions. The measure of distance between histograms of comparable ROIs allowed us to increase the sensitivity and specificity rate for the classification of 24 images of pain patients when compared to common statistical comparisons. CONCLUSIONS: We developed a complete set of automated techniques for the computerised assessment of thermal images to assess pain-related thermal dysfunction

Precise Thermal NDE for Quantifying Structural Damage

We have developed precise thermal NDE as a wide-area inspection tool to quantify structural damage within airframes and bridge decks. We used infrared cameras and image processing to produce precise temperature, thermal inertia, and cooling-rate maps of flash-heated aircraft skins. These maps allowed us to distinguish major structural defects from minor flaws which do not warrant costly repairs. We quantified aircraft skin corrosion defects with metal losses as low as 5% with 3% overall uncertainty [1–6]. We proved the feasibility of precise thermal NDE to inspect naturally-heated asphalt-concrete bridge decks. To this end, we quantified structural damage within asphalt-concrete slabs by locating the sites, and determining the relative volumes, of concrete displacements from 2-inch deep and 4-inch deep synthetic delaminations in asphalt-concrete slabs [4–8]

Thermal (IR) and Other NDT Techniques for Improved Material Inspection

International audienc