Anisotropy analysis of 2D and 3D textures using anisotropic fractional Brownian field

This paper aims first at implementing two algorithms to extract Region Of Interest (ROI) from 2D (mammography) and 3D images (tomosynthesis) so that to gather ROI databases and second, at analyzing anisotropy of these images textures using an anisotropic fractional Brownian field to check whether the model being studied helps apprehend the breast anisotropy. This analysis includes the estimation and the comparison of indices (already presented in [17]). We detail two algorithms: the automatic and the manual extraction of ROI implemented to gather 2D and 3D Region Of Interest (ROI) databases. Tests performed are described and results are reported. Keywords-medical imaging, fractional Brownian fields, tomosynthesis, mammography, anisotropy, texture. I