07 Oct 2021
online event


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Discussion points of the webinar:

  • What approaches exist to analyse diffusion MRI data?
  • What constitutes an ‘optimal’ diffusion MRI data acquisition?
  • What are the differences between adult and neonatal diffusion characteristics, and what can we learn about the developing brain using dMRI?

Dr J-Donald Tournier (PhD)

King's College London

My work is focused on the development and application of diffusion MRI methods, particularly those that relate to the characterisation of white matter and its connectivity. I have worked particularly on: the design of acquisition schemes for high angular resolution diffusion imaging (HARDI); estimating fibre orientations in a crossing fibre context via spherical deconvolution; probabilistic tractography methods and related applications such as Track Density Imaging (TDI), Anatomically Constrained Tractography (ACT), and spherical deconvolution informed filtering of tracks (SIFT); Apparent Fibre Density (AFD) methods for group-wise fixel-based analysis (FBA) of whole brain diffusion MRI data; advocating the use of higher-order models for clinical applications, particularly neurosurgery. Much of my research output is available for use in the open-source software package MRtrix (