Robust and fast nonlinear optimization of diffusion MRI microstructure models.

ABSTRACT: Advances in biophysical multi-compartment modeling for diffusion MRI (dMRI) have gained popularity because of greater specificity than DTI in relating the dMRI signal to underlying cellular microstructure. A large range of these diffusion microstructure models have been developed and each of the popular models comes with its own, often different, optimization algorithm, noise model and initialization strategy to estimate its parameter maps. Since data fit, accuracy and precision is hard to verify, this creates additional challenges to comparability and generalization of results from diffusion microstructure models. In addition, non-linear optimization is computationally expensive leading to very long run times, which can be prohibitive in large group or population studies. In this technica

SUBMITTER: Harms RL 

PROVIDER: S-EPMC5518773 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature