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arXiv · 2306.16315

Neuromelanin-MRI using 2D GRE and deep learning: considerations for improving the visualization of substantia nigra and locus coeruleus

Samy Abo Seada·Anke W. van der Eerden·Agnita J. W. Boon·Juan A. Hernandez-Tamames
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Abstract

An optimized clinically feasible neuromelanin-MRI imaging protocol for visualising the SN and LC simultaneously using deep learning reconstruction is presented. We optimize flip-angle for optimal combined SN and LC depiction. We also experimented with combinations of anisotropic and isotropic in-plane resolution, partial vs full echoes and the number of averages. Phantom and in-vivo experiments on three healthy volunteers illustrate that high-resolution imaging combined with deep-learning denoising shows good depiction of the SN and LC with a clinically feasible sequence of around 7 minutes.

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Samy Abo Seada, Anke W. van der Eerden, Agnita J. W. Boon, Juan A. Hernandez-Tamames. 2023-06-28. Neuromelanin-MRI using 2D GRE and deep learning: considerations for improving the visualization of substantia nigra and locus coeruleus. https://arxiv.org/abs/2306.16315

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