CASPIAN JOURNAL

MANAGEMENT AND HIGH TECHNOLOGIES

Application of two-dimentional fractal analysis for differentiation of normal and pathologiСЃal contact mammary glands thermograms

2015. №4, pp. 183-198

Gorshkov O.G. - teacher, Donetsk National Medical University, 16 Ilich Ave., Donetsk, 83003, DPR, olgor22@yahoo.com

Starchenko I.B. - D.Sc. (Engineering), Professor, Southern Federal University, 2 Shevchenko St., Taganrog, 347922, Russian Federation, star@fep.tti.sfedu.ru

Sobotnitskiy I.S. - post-graduate, Southern Federal University, 2 Shevchenko St., Taganrog, 347922, Russian Federation, pyogenic@mail.ru

In this study we demonstrate that thermograms of mammary gland have two-dimensional fractal structure. It allows us to analyze thermograms with the methods of fractal analysis. Thus, the Hurst exponent can be used to reveal any possible difference between normal and pathological thermograms. To calculate the Hurst exponent we used the detrending moving average analysis (DMA) algorithm for evaluation of the high dimensionality fractals. A total of 478 women between the ages of 15 and 80 years old participated in this study. Significant differences in the Hurst exponents for the temperature difference distribution of symmetrical points on the left and right thermograms (asymmetry) of normal mammary glands Рќ = 0,14 (0,08; 0,19), asymmetry of mammary glands when one of the glands (or both) is cancer-stricken Рќ = 0,19 (0,11; 0,26) and asymmetry of mammary glands when one of the glands (or both) has fibrocystic mastopathy Рќ=0,17(0,12; 0,22) were observed. Thus thermography can be recommended for the screening control of mammary glands.

Key words: молочные железы, выявление заболеваний, термография, фрактальный анализ изображений, фрактальная структура, показатель Херста, метод DMA, статистический анализ, mammary glands, disease detection, thermography, fractal image analysis, fractal structure, Hu

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