Enhancing the estimation of fiber orientation distributions using convolutional neural networks

Oeslle Lucena1, Sjoerd B Vos2, Vejay Vakharia3

  • 1School of Biomedical Engineering and Imaging Sciences, King's College London, UK.

Summary

This study uses 3D convolutional neural networks (CNNs) to reconstruct complex fiber orientation distributions (FODs) from limited diffusion MRI data. This method improves FOD accuracy in clinical settings with restricted scanning times.

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