3-D in vivo brain tumor geometry study by scaling analysis

F. Torres Hoyos and M. Martín-Landrove

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 4, 1195-1206

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.

Keywords: Scaling analysis; Tumor growth; Fractal dimension (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:391:y:2012:i:4:p:1195-1206

DOI: 10.1016/j.physa.2011.09.034

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