Open AccessFacial thermography: a potential complimentary tool for evaluation of dental disorders
Author(s) -
U. Snekhalatha,
Nida Mir,
Mehvish Khan,
Parimal Raj,
Vimaladhithan,
Yeshi Choden
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.8.10353
Subject(s) - thermography , population , statistical analysis , significant difference , dentistry , biomedical engineering , medicine , orthodontics , artificial intelligence , mathematics , computer science , statistics , optics , physics , infrared , environmental health
The aim and objectives of the study was to analyze the skin surface temperature distribution in dental disorders using thermal imaging and to segment the region of interest using k-means algorithm and to perform statistical feature extraction for the total population studied. Thermal images were obtained for left profile, right profile, and front profile for the total population to be studied. The thermal image was segmented using k-means algorithm and the features were extracted from the segmented output image for both normal and dental disorder subjects. The results obtained from the study depicts that the mean temperature difference between the abnormal diseased subjects and the healthy controls in the front, left and right facial region was found to be 8.75%, 7.89% and 9.3% respectively. Among the regions examined in the facial thermogram, right facial region depicts the highest percentage difference of 9.3% found between the diseased subjects and normal group. From this data it is safe to infer that, presence of infections, significantly increases the temperature of the region. Hence thermography was used as a complimentary diagnostic tool in diagnosis of dental disorders.