Abstract
Diffusion MRI is a noninvasive MR imaging technique that allows in vivo characterization and quantification of the molecular water diffusion in tissues. Diffusion kurtosis imaging (DKI) model has been used to describe the restricted diffusion condition in tissue, which showed elevated intensities from the estimation of conventional monoexponential diffusion model in high b-value. And it is essential for processing non-linear fitting procedure by setting a good initial guess value. Few studies were investigated on the initial guess value and it is aimed in our study to get stable fitting DKI initial guess value. Pre-fitting D method was proposed to get a robust fitting result, and some of the fixed initial D guess value also did that. Further, it was performed time analysis to find the fastest initial K guess value. At low SNR, the accuracy and precision of pre-fitting was hampered in the large D, small k data which is non-restriction environment in brain. Moreover, it was explored the failed manual chosen initial D guess value caused error estimation amount and map those region in brain.