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Abstract #1393

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

Samy Abo Seada1, Anke W. van der Eerden1, Agnita J.W. Boon2, and Juan Antonio Hernandez-Tamames1,3
1Radiology and nuclear medicine, Erasmus MC, Rotterdam, Netherlands, 2Department of Neurology, Erasmus MC, Rotterdam, Netherlands, 3Department of Imaging Physics, TU Delft, Delft, Netherlands

Synopsis

Keywords: Parkinson's Disease, Normal developmentAn optimized clinically feasible neuromelanin MRI imaging protocol for visualising the SN and LC simultaneously using deep learning reconstruction is presented. For a 2D sequence we set out to optimize the 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 7 minutes.

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Keywords