Abstract #2925
Fitting the Diffusional Kurtosis Tensor to Rotated Diffusion MR Images
Pedro A. Gmez 1,2 , Tim Sprenger 1,2 , Marion I. Menzel 2 , and Jonathan I. Sperl 2
1
Technical University Munich, Munich,
Germany,
2
GE
Global Research, Munich, Germany
Estimating the diffusional kurtosis tensor requires
fitting a model with 22 free parameters to noisy
diffusion signals, and is subject to low accuracy. We
propose a variation of the model that makes use of the
main directions of diffusion, only requiring the fitting
of 10 parameters. Monte Carlo simulations and
experiments on volunteer datasets indicate that the
reduced version of the model has less bias than the full
model, particularly in white matter areas with high
fractional anisotropy.
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