Abstract #2016

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

Ganna Blazhenets^1,2, Farida Grinberg^1,3, Ezequiel Farrher¹, Xiang Gao¹, Mikheil Kelenjeridze⁴, Tamo Xechiashvili⁴, and N. Jon Shah^1,3

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here