Recovering high-quality fiber orientation distributions from a reduced number of diffusion-weighted images using a model-driven deep learning architecture.

Journal: Magnetic resonance in medicine
PMID: 38852179

Abstract

PURPOSE: The aim of this study was to develop a model-based deep learning architecture to accurately reconstruct fiber orientation distributions (FODs) from a reduced number of diffusion-weighted images (DWIs), facilitating accurate analysis with reduced acquisition times.

Authors

  • Joseph J Bartlett
    Department of Biomedical Engineering, Melbourne Brain Centre Imaging Unit, Graeme Clark Institute, The University of Melbourne, Parkville, Victoria, Australia.
  • Catherine E Davey
    Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia. catherine.davey@unimelb.edu.au.
  • Leigh A Johnston
    Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia.
  • Jinming Duan
    School of Computer Science University of Birmingham Birmingham UK.

Keywords

External Resources

Popular Topics
Recent Journals