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Abstract #0041

High resolution 3D Deuterium Metabolic Imaging of the human brain using bSSFP with concentric ring trajectory readout at 7T

Sabina Frese1, Bernhard Strasser1, Lukas Hingerl1, Elton Montrazi2, Lucio Frydman2, Viola Bader1, Anna Duguid1, Aaron Osburg1, Stanislav Motyka1,3, Martin Krssak4, Thomas Scherer4, Rupert Lanzenberger5, Wolfgang Bogner1,3, and Fabian Niess1
1High Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 2Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 3Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Vienna, Austria, 4Department of Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria, 5Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria

Synopsis

Keywords: Deuterium, Deuterium

Motivation: Deuterium metabolic imaging (DMI) suffers from inherently low SNR, which can be enhanced using balanced-steady-state-free-precession (bSSFP) pulse design. Higher SNR can be traded for increased spatial resolution using fast concentric ring trajectory (CRT) sampling.

Goal(s): To develop and implement a 3D-bSSFP-DMI sequence for whole-brain DMI in humans at 7T.

Approach: A bSSFP sequence module was combined with 3D-CRT sampling and metabolic maps of water/glucose/glutamate+glutamine were dynamically acquired in 4 healthy volunteers.

Results: A 2-4-fold SNR increase was observed for DMI maps using bSSFP-DMI compared to FID-CRT-DMI, which allowed for increased spatial resolution (0.75ml to 0.36ml), while maintaining sufficient quality.

Impact: Improving SNR and consequently spatial resolution of deuterium metabolic imaging (DMI) data is crucial to push DMI towards clinical application. bSSFP-CRT sequences combined with appropriate reconstruction and metabolite separation can facilitate this transition.

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Keywords