Ezequiel Farrher1, Tony Stcker1, Farida Grinberg1, N. Jon Shah1, 2
1Institute of Neuroscience and Medicine - 4, Forschungszentrum Juelich, Juelich, Germany; 2JARA - Faculty of Medicine, RWTH Aachen University, Aachen, Germany
Diffusion-weighted magnetic resonance imaging provides a unique, non-invasive tool to characterize tissue microstructure and orientation. In order to enable a quantitative validation of the proposed physical models to elucidate tissue orientation, it is necessary to have artificial systems with well-known structure and physical properties. In this work, we demonstrate the application of a multi-section diffusion phantom used for comparison of the performance of two models for high angular resolution diffusion imaging (HARDI) data analysis, i.e. the so-called Q-ball Imaging (QBI) and the constrained spherical deconvolution (CSD) methods.
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