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Abstract #0321

Accurate super-resolution of diffusion MRI data at ultra-strong gradients and varying diffusion time using Image Quality Transfer

Eleonora Lupi1, Fulvia Palesi1, Carolyn McNabb2, Pedro Luque Laguna2, Matteo Figini3, Daniel C Alexander3, Egidio D’Angelo1,4, Claudia AM Gandini Wheeler-Kingshott1,4,5, Mara Cercignani2, and Marco Palombo2,6
1Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 2Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 3Hawkes Institute and Department of Computer Science, University College London, London, United Kingdom, 4Digital Neuroscience Centre, IRCCS Mondino Foundation, Pavia, Italy, 5NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 6School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

Synopsis

Keywords: Diffusion Analysis & Visualization, Microstructure, Image Quality Transfer

Motivation: Diffusion-weighted imaging (DWI) is a powerful technique for investigating brain microstructure and obtaining quantitative measures of microstructural features. However, current resolution limits biological accuracy.

Goal(s): Image Quality Transfer (IQT) was adapted to use spherical harmonics coefficients to enhance DWI resolution acquired with ultra-high b-values and multiple diffusion times.

Approach: IQT performance was assessed in two DWI acquisitions, then enhanced-resolution DWI-data was fitted with advanced biophysical models to demonstrate the impact of resolution enhancement, alongside quantitative and histological accuracy.

Results: IQT reconstructed with high accuracy enhanced-resolution DWI-data, whose fitting provided quantitative and histological accurate maps, highlighting IQT benefits for research and clinical applications.

Impact: We demonstrated IQT effectiveness in advanced DWI acquisitions with ultra-high b-values and multiple diffusion times when adapted with suitable signal representation. This approach advances the precise study of brain microstructure, overcoming current DWI limitations in both clinical and research settings.

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Keywords