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Chronic Inflammatory Processes in Thyroid Gland -- Texture Analysis of Sonographic Images

One of the basic diagnostic and monitoring tools for the diseases of the thyroid gland is sonography. Nonetheless, conventional sonography is still qualitative. To improve the diagnosis reliability, quantitative image analysis is highly desirable. In this paper, we report preliminary results on computer distinguishing between an ultrasound image of chronic inflammation – Hashimoto’s lymphocytic thyreoiditis and healthy tissue. The combination of texture entropy, correlation and uniformity of energy and combination of cluster tendency, texture homogeneity and uniformity of energy proved to be most efficient parameters for discriminative power and recognition stability. There is possibility to use this quantitative tissue characterisation in clinical diagnostic process. Other conditions will be studied in the future.