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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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