access icon free Evaluation of facial tissue characteristics by utilising vibration signals using thermal imaging

Using the vibration signals, the facial tissue characteristics may be utilised for the detection of nasal diseases. In this study, the tissue characteristics were specified by applying constant frequency vibration signals to the facial tissue. The temperature changes caused by an external vibration source applied to the human face were investigated using thermal imaging techniques. Vibrations were applied to the forehead, right cheek, and left cheek regions of the facial tissue. Temperature differences were examined using dynamic and static analyses. Temperature increases of 500, 562, and 606 m°C were acquired in the F region, MR, and ML regions, respectively. While the F region has the lowest soft tissue thickness and temperature difference, the ML region has the highest values. The temperature difference between ML and F regions was acquired as 106 m°C. The temperature distributions of the facial area indicate that the change of the temperature is lower in the regions where the soft tissue thickness is low, and higher in the regions where the soft tissue thickness is high. Therefore, the thickness information about the soft tissue can be provided from the temperature distribution of the facial area after the application of the vibration signal.

Inspec keywords: biological tissues; vibrations; face recognition; medical image processing; temperature distribution; diseases; infrared imaging

Other keywords: facial tissue characteristics; external vibration source; face region; F region; static analyses; thermal imaging techniques; facial area; ML region; nasal diseases; dynamic analysis study; constant frequency vibration signals; temperature changes; temperature difference; heating response curve; temperature alteration; MR regions; cheek regions; soft tissue thickness; temperature distribution

Subjects: Patient diagnostic methods and instrumentation; Image recognition; Image sensors; Optical and laser radiation (medical uses); Biology and medical computing; Computer vision and image processing techniques; Optical and laser radiation (biomedical imaging/measurement)

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