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Abstract #0152

Diffusivity in crossing and diverging fibers: a multi-site phantom experiment

Matthan W.A. Caan 1 , Ezequiel Farrher 2 , James Cole 3 , Dirk H.J. Poot 4,5 , Farida Grinberg 2,6 , and N. Jon Shah 2,6

1 Department of Radiology, Academic Medical Center, Amsterdam, Netherlands, 2 Institute of Neuroscience and Medicine-4, Forschungszentrum Juelich, Juelich, Germany, 3 Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, London, United Kingdom, 4 Quantitative Imaging Group, Department of Imaging Physics, Delft University of Technology, Delft, Netherlands, 5 Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, Netherlands, 6 Department of Neurology, Faculty of Medicine, JARA, RWTH Aachen University, Aachen, Germany

We studied diffusion parameters within a multisection diffusion phantom with parallel, diverging and crossing fibers, of which HARDI data were acquired on two 3 Tesla scanners. The single tensor model, a constrained dual tensor (DT) model and diffusion kurtosis imaging (DKI) were employed. Diffusion parameter profiles were computed in fibers tracked in different parts of the phantom. The DT model and DKI were more sensitive to minor microstructural changes. Comparing data between scanners shows an offset smaller than one standard deviation in all parameters. This approach gives insights into which parameters are most appropriate for multi-site human studies.

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