SimulationTools

Demonstrations.nb ››
Guide page ›› Code on Github ››

The main purpose of this toolbox is to simulate DTI based DWI data and contains some functions to easily perform analysis of the fit results of the simulated signals (Froeling et al. 2013). Back››

$iWLLS reconstruction: fitted MD and FA as a function of SNR and fat fraction.$

$iDeal based Dixon reconstruction: fitted fat fractions as a function of the imposed fat fraction, SNR and B0 field offset.$

$EPG base T2 fitting: fitted T2 value as a function of B1, SNR and fat fraction.$

References

Froeling, Martijn, Aart J. Nederveen, Klaas Nicolay, and Gustav J. Strijkers. 2013. “DTI of human skeletal muscle: The effects of diffusion encoding parameters, signal-to-noise ratio and T2 on tensor indices and fiber tracts.” NMR in Biomedicine 26 (11): 1339–52. link››.