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Abstract #3591

High Angular Resolution Diffusion Imaging Methods: A Diffusion Phantom Study

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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Keywords

actual angular applicability application applied approaches artificial assessed background ball become becomes blue body bottom brain built carried circumvent clinical columns complex conditions configurations connectivity constant constrained container correspond corresponds cross crossing cylindrical dashed decades deconvolution densities density dependence dependent depict deviation diameter diffusion disadvantage discrepancy distilled distribution diverging elucidate enable enough equal estimation evaluation evolution exhibit faculty function generated gradient harmonic immersed improve inability increasing influence institute intermediate investigation known last materials medical medicine modal model models necessary noise normalized orientation orientations parallel performance phantom physical polyethylene population prime problem profiles properties proposed pulse quantified quantitative rather reconstruction reduce related represent representation resolution respectively revision rows scanner schematic schematically setup several shah side sides spatially spherical spin structure structures systems taking tensor third tissue tony tool toolbox trio uncertainties underlying validation view water whole