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June 9, 2024Magnetic Resonance in MedicineOpen Access

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

Joseph W. Bartlett Catherine E. Davey Leigh A. Johnston Jinming Duan

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Abstract

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.

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Cite This Study

Bartlett et al. (2024) studied this question.

synapsesocial.com/papers/68e6585fb6db6435875e717a https://doi.org/10.1002/mrm.30187

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