Abstract
The irregularity or ”roughness” of medical images is quantified by means of fractal dimension D. For medical images diagnostically important information often lies in the texture. In this paper we describe the application of the intensity difference scaling method for assessment of the fractal dimension D in the irregular regions of interest (irregular ROI-s). Near boundary between different tissues or structures the values of fractal dimensions changed significantly. It is difficult to fit entire regular region of interest within the examined organ with simultaneous inclusion of the relevant fragment, and at the same time to avoid the influence of boundaries.
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Oczeretko, E., Borowska, M., Szarmach, I., Kitlas, A., Szarmach, J., Radwański, A. (2010). Fractal Analysis of Dental Radiographic Images in the Irregular Regions of Interest. In: Piȩtka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Intelligent and Soft Computing, vol 69. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13105-9_20
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DOI: https://doi.org/10.1007/978-3-642-13105-9_20
Publisher Name: Springer, Berlin, Heidelberg
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