Recovering high-quality FODs from a reduced number of diffusion-weighted images using a model-driven deep learning architecture

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.

cs.CV cs.LG eess.IV Computer Science Engineering Medicine

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References (49)

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