Paper
4 December 2010 Using fractal analysis of thermal signatures for thyroid disease evaluation
Gheorghe Gavriloaia, Emil Sofron, Mariuca-Roxana Gavriloaia, Adina-Mariana Ghemigean
Author Affiliations +
Proceedings Volume 7821, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies V; 78211O (2010) https://doi.org/10.1117/12.882294
Event: Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies, 2010, Constanta, Romania
Abstract
The skin is the largest organ of the body and it protects against heat, light, injury and infection. Skin temperature is an important parameter for diagnosing diseases. Thermal analysis is non-invasive, painless, and relatively inexpensive, showing a great potential research. Since the thyroid regulates metabolic rate it is intimately connected to body temperature, more than, any modification of its function generates a specific thermal image on the neck skin. The shapes of thermal signatures are often irregular in size and shape. Euclidean geometry is not able to evaluate their shape for different thyroid diseases, and fractal geometry is used in this paper. Different thyroid diseases generate different shapes, and their complexity are evaluated by specific mathematical approaches, fractal analysis, in order to the evaluate selfsimilarity and lacunarity. Two kinds of thyroid diseases, hyperthyroidism and papillary cancer are analyzed in this paper. The results are encouraging and show the ability to continue research for thermal signature to be used in early diagnosis of thyroid diseases.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gheorghe Gavriloaia, Emil Sofron, Mariuca-Roxana Gavriloaia, and Adina-Mariana Ghemigean "Using fractal analysis of thermal signatures for thyroid disease evaluation", Proc. SPIE 7821, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies V, 78211O (4 December 2010); https://doi.org/10.1117/12.882294
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Cited by 2 scholarly publications.
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KEYWORDS
Fractal analysis

Image segmentation

Skin

Cancer

Temperature metrology

Analytical research

Image analysis

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