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Abstract #3399

A unified signal readout for reproducible multimodal characterisation of brain microstructure

Francesco Grussu1, Marco Battiston1, Ferran Prados1,2, Torben Schneider1,3, Enrico Kaden4, S├ębastien Ourselin2, Rebecca S. Samson1, Daniel C. Alexander4, and Claudia A. M. Gandini Wheeler-Kingshott1,5,6

1UCL Institute of Neurology, Queen Square MS Centre, University College London, London, United Kingdom, 2Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Philips UK, Guildford, Surrey, United Kingdom, 4Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 5Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 6Brain MRI 3T Mondino Research Center, C. Mondino National Neurological Institute, Pavia, Italy

Multimodal imaging is very promising for characterising brain microstructure in vivo, but it is usually performed employing a variety of signal readouts, which disrupts the spatial correspondence of the multimodal features. Here we demonstrate a multimodal imaging protocol for detailed characterisation of brain microstructure with unified single-shot EPI readout. Our aim is to provide macromolecular volume via inversion recovery spin echo, neurite morphology via diffusion imaging in close spatial alignment and thus to combine those for estimating myelin g-ratio. We show that our protocol enables the evaluation of parametric maps with high reproducibility that capture biological differences among healthy subjects.

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