3-D in vivo brain tumor geometry study by scaling analysis |
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Authors: | F. Torres Hoyos,M. Martí n-Landrove |
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Affiliation: | a Department of Physics, Universidad Simón Bolívar, Caracas 1080, Venezuelab Department of Physics Universidad de Córdoba, Córdoba 230002, Colombiac Centro de Física Molecular y Médica, Universidad Central de Venezuela, Caracas 1040, Venezuelad Centro de Diagnóstico Docente Las Mercedes, Caracas, Venezuela |
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Abstract: | A new method, based on scaling analysis, is used to calculate fractal dimension and local roughness exponents to characterize in vivo 3-D tumor growth in the brain. Image acquisition was made according to the standard protocol used for brain radiotherapy and radiosurgery, i.e., axial, coronal and sagittal magnetic resonance T1-weighted images, and comprising the brain volume for image registration. Image segmentation was performed by the application of the k-means procedure upon contrasted images. We analyzed glioblastomas, astrocytomas, metastases and benign brain tumors. The results show significant variations of the parameters depending on the tumor stage and histological origin. |
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Keywords: | Scaling analysis Tumor growth Fractal dimension |
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