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Abstract #0697

3D MERMAID: 3D Multishot Enhanced Recovery Motion Artifact Insensitive Diffusion sequence for sub-millimeter SNR efficient diffusion imaging

Sajjad Feizollah1,2 and Christine Lucas Tardif1,2,3
1Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 2McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada, 3Department of Biomedical Engineering, McGill University, Montreal, QC, Canada

Synopsis

Keywords: Diffusion Acquisition, Diffusion Acquisition, high-resolution, motion correction, 3D

Motivation: Several 2D/3D diffusion sequences have been developed to improve the resolution of diffusion MRI, but require long scan times.

Goal(s): To improve SNR efficiency of diffusion imaging to obtain submillimeter resolutions with high q-space sampling in a reasonable time on clinical scanners.

Approach: We previously proposed a novel 3D diffusion sequence that includes an additional inversion pulse for enhanced signal recovery, and a TURBINE readout for motion correction. Here, we enhance the SNR efficiency further by removing data corrupted by motion, and incorporating compressed-sensing into the reconstruction.

Results: Whole brain scans at 0.74mm isotropic resolution in 112 diffusion directions were acquired in 37minutes.

Impact: We designed a multi-shot 3D diffusion sequence that is SNR efficient and robust to motion artifacts between shots. This sequence enables high spatial and angular resolution diffusion-weighted imaging of the whole brain in short scan times on clinical 3T systems.

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