Improving alignment in Tract-based spatial statistics: Evaluation and optimization of image registration

The evaluation framework was highly reproducible for both algorithms (R2 0.993; 0.931). The optimal registration parameters depended on the quality of the dataset in a graded and predictable manner. At optimal parameters, both algorithms outperformed the registration of TBSS, showing feasibility of adopting such approaches in TBSS. This was further confirmed in the example experiment.