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Abstract #2016

Comparison of fast and conventional diffusion kurtosis imaging in an anisotropic synthetic phantom

Ganna Blazhenets1,2, Farida Grinberg1,3, Ezequiel Farrher1, Xiang Gao1, Mikheil Kelenjeridze4, Tamo Xechiashvili4, and N. Jon Shah1,3

1Institute of Neuroscience and Medicine - 4, Forschungszentrum Juelich, Juelich, Germany, 2Institute of Nuclear Physics, University of Cologne, Cologne, Germany, 3Department of Neurology, Faculty of Medicine, JARA, RWTH Aachen University, Aachen, Germany, 4Department of Physics, Georgian Technical University, Tbilisi, Georgia

We compare the sensitivity and applicability of two methods for the estimation of mean kurtosis in a multi-sectional, anisotropic diffusion phantom using conventional diffusion kurtosis imaging and a fast protocol for rapid mean kurtosis metric estimation suggested by Hansen et al. (2013). Both methods provide similar image quality and it can be concluded that fast estimation of mean kurtosis is a useful tool that can be used as a fast method for clinical applications. An interesting finding of this work is a stronger dependence of fast computed kurtosis metrics on the orientation of fibres with respect to the static magnetic field than of the conventional method.

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