Increasing the effective resolution of thermal infrared images

Thermal infrared (TIR) imaging is recognized as the most efficient technique for the study of skin temperature distribution. In specific diseases, characteristic changes can be measured from target anatomical sites. In this way, objective noninvasive investigations can be of diagnostic value. TIR im...

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Bibliographic Details
Published in:IEEE engineering in medicine and biology magazine 2000-05, Vol.19 (3), p.63-70
Main Authors: Snyder, W.E., Qi, H., Elliott, R.L., Head, J.F., Wang, C.X.
Format: Article
Language:English
Subjects:
Algorithms
Breast
Breast cancer
Computer Simulation
Diagnosis
Diagnostic Imaging - methods
Diagnostic Imaging - statistics & numerical data
Diseases
Female
High-resolution imaging
Hormones
Humans
Image Processing, Computer-Assisted - methods
Image Processing, Computer-Assisted - statistics & numerical data
Image recognition
Image resolution
Imaging
Infrared imaging
Infrared Rays
Mammography
Models, Biological
Noise
Noninvasive medical procedures
Oncology
Optical imaging
Philosophy
Preserves
Risk
Risk assessment
Risk management
Skin
Temperature distribution
Thermography
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Summary:Thermal infrared (TIR) imaging is recognized as the most efficient technique for the study of skin temperature distribution. In specific diseases, characteristic changes can be measured from target anatomical sites. In this way, objective noninvasive investigations can be of diagnostic value. TIR imaging of the breast for breast cancer risk assessment is an example. Although TIR imaging possesses the advantages of being noninvasive, risk free, and considerably less expensive, it suffers the disadvantage of a lack of resolution due to blur compounded by rather high levels of noise. A maximum a posteriori probability (MAP) image restoration philosophy is proposed to solve this problem of resolution. The objective is three-fold: to increase the resolution of the measured image by using a type of 2:1 zooming; to remove the noise; and simultaneously to preserve the detail of features, including, in particular, the sharpness of edges.
ISSN:0739-5175
1937-4186
DOI:10.1109/51.844382