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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