Chantal M. W. Tax

TL;DR: The encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent) is reported, however, the same tractograms contain many more invalid than valid bundles, and half of these invalid bundles occur systematically across research groups.

TL;DR: Specific assumptions of TBSS that may not be satisfied under typical conditions are identified and it is demonstrated that the existence of such violations can severely affect the reliability of T BSS results.

TL;DR: To investigate previously unreported effects of signal drift as a result of temporal scanner instability on diffusion MRI data analysis and to propose a method to correct this signal drift.

TL;DR: This framework facilitates the use of spherical deconvolution approaches in data sets in which it is not straightforward to define RF settings a priori, and demonstrates that with the proposed method the RF can be calibrated in a robust and automated way without needing to define ad-hoc FA threshold settings.

TL;DR: Ten advantages of ultra‐strong gradients for microstructural imaging are described, and how the increase of the accessible measurement space compared to a lower‐gradient systems can accelerate developments in the areas of axon diameter distribution mapping, tumour characterisation, and quality enhancement of images acquired on lower‐ gradient systems.