Characterization of Tumor Angiogenesis Using Fractal Measures

Tumors vascular networks are different from normal vascular networks, but the mechanisms underlying these differences are not known. Underlying these mechanisms may be key to improving the efficacy of the treatment of tumor. We studied possibility to apply two types of fractal measure: fractal dimension and succolarity for characterizing medical images. We find that fractal dimension value to the normal vasculature is smaller than the results for the tumor vasculature. Moreover, for applying succolarity the results do not vary considerable with the direction in normal vasculature, while for tumor vasculature the curves differs significantly. In conclusion, the results obtained show that the fractal measure is an important tool for analyzing medical images.