Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10481478 | Physica A: Statistical Mechanics and its Applications | 2012 | 12 Pages |
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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Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
F. Torres Hoyos, M. MartÃn-Landrove,