Stamatios Sotiropoulos
Honorary Research Fellow, FMRIB Analysis
- Associate Professor, Sir Peter Mansfield Imaging Centre, University of Nottingham
Research Summary
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)
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The developing Human Connectome Project (funded by ERC)
- The UK Biobank Imaging Study
Key publications
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Advances in diffusion MRI acquisition and processing in the Human Connectome Project
Journal article
Sotiropoulos SN. et al, (2013), NeuroImage, 80, 125 - 143
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Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project
Journal article
Sotiropoulos SN. et al, (2016), NeuroImage, 134, 396 - 409
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Measuring macroscopic brain connections in vivo
Other
Jbabdi S. et al, (2015), Nature Neuroscience, 18, 1546 - 1555
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Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI
Journal article
Sotiropoulos SN. et al, (2012), NeuroImage, 60, 1412 - 1425
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Model-based analysis of multishell diffusion MR data for tractography: How to get over fitting problems
Journal article
Jbabdi S. et al, (2012), Magnetic Resonance in Medicine, 68, 1846 - 1855
Recent publications
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Non-Negative Data-Driven Mapping of Structural Connections with Application to the Neonatal Brain.
Journal article
Thompson E. et al, (2020), Neuroimage
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XTRACT - Standardised protocols for automated tractography in the human and macaque brain.
Journal article
Warrington S. et al, (2020), Neuroimage, 217
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Improved fibre dispersion estimation using b-tensor encoding.
Journal article
Cottaar M. et al, (2020), Neuroimage, 215
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Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing.
Journal article
Autio JA. et al, (2020), Neuroimage, 215
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A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging.
Journal article
Tournier J-D. et al, (2020), NMR Biomed