Honorary Research Fellow, FMRIB Analysis
- Associate Professor, Sir Peter Mansfield Imaging Centre, University of Nottingham
I develop tools for the analysis of diffusion MRI data of the brain. I am interested in biophysical modelling of brain connections at different scales, both for resolving tissue microstructural patterns and long-range brain connectivity. I develop computational methods for inferring this information in-vivo and I am particularly interested in data fusion approaches for combining strengths and bridging the gaps across structural modalities (for instance, diffusion MRI at different k/q-space acquisitions, histology, microscopy). I am also heavily involved with the design and implementation of new technologies that aim to improve the spatial and angular resolution of diffusion MRI acquisitions.
More specifically, I am currently involved in the following projects:
- The recently funded EPSRC project on "Anatomy-Driven Brain Connectivity Mapping".
- The Human Connectome Project (funded by the US NIH)
The developing Human Connectome Project (funded by ERC)
- The UK Biobank Imaging Study
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
Sotiropoulos SN. et al, (2013), NeuroImage, 80, 125 - 143
Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project.
Sotiropoulos SN. et al, (2016), Neuroimage, 134, 396 - 409
Measuring macroscopic brain connections in vivo.
Jbabdi S. et al, (2015), Nat Neurosci, 18, 1546 - 1555
Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI.
Sotiropoulos SN. et al, (2012), Neuroimage, 60, 1412 - 1425
Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems.
Jbabdi S. et al, (2012), Magn Reson Med, 68, 1846 - 1855
Building connectomes using diffusion MRI: why, how and but.
Sotiropoulos SN. and Zalesky A., (2017), NMR Biomed
Image quality transfer and applications in diffusion MRI.
Alexander DC. et al, (2017), Neuroimage, 152, 283 - 298
On the mechanical behaviour of PEEK and HA cranial implants under impact loading.
Garcia-Gonzalez D. et al, (2017), J Mech Behav Biomed Mater, 69, 342 - 354
Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank
Alfaro Almagro F. et al, (2017), biorxiv
Studying neuroanatomy using MRI.
Lerch JP. et al, (2017), Nat Neurosci, 20, 314 - 326