M. Okan Irfanoglu

TL;DR: The results indicate that, even with high-quality data, DWI tractography alone is unlikely to provide an anatomically accurate map of the brain connectome, and suggest that there is an inherent limitation in determining long-range anatomical projections based on voxel-averaged estimates of local fiber orientation obtained from DWI data that is likely to be overcome by improvements in data acquisition and analysis alone.

TL;DR: MAP-MRI represents a new comprehensive framework to model the three-dimensional q-space MR signal and transform it into diffusion propagators, and provides several novel, quantifiable parameters that capture previously obscured intrinsic features of nervous tissue microstructure.

TL;DR: The correction of EPI distortion using an image-based registration approach showed a significant improvement in tract consistency and accuracy and is recommended to be added to the diffusion MRI processing pipeline if the output is to be used for fiber tractography.

TL;DR: The 3D Validation of Tractography with Experimental MRI (3D‐VoTEM) challenge results independently confirm findings from decades of tractography validation studies, demonstrate inherent limitations in reconstructing white matter pathways using diffusion MRI data alone, and highlight the need for alternative or combinatorial strategies to accurately map the fiber pathways of the brain.

TL;DR: DR-BUDDI can incorporate information from an undistorted structural MRI and also use diffusion-weighted images (DWI) to guide the registration, improving the quality of the registration in the presence of large deformations and in white matter regions.