Abstract #3546

Chasing the Dot: Diffusion-Weighted MR Spectroscopy with Spherical Tensor Encoding

André Döring¹, Frank Rösler², Kadir Şimşek^1,3, Karl Landheer⁴, Roland Kreis^5,6, Wolfgang Bogner⁷, and Derek K Jones¹

¹Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, ²Department of Mathematics, University of Bern, Bern, Switzerland, ³School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, ⁴Regeneron Pharmaceuticals, Inc. Tarrytown, New York, NY, United States, ⁵Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University Bern, Bern, Switzerland, ⁶Translational Imaging Center, sitem-insel, Bern, Switzerland, ⁷High-field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria

Synopsis

Keywords: Gray Matter, Spectroscopy, Spherical Tensor Encoding, Diffusion, MetabolitesDiffusion-weighted MR spectroscopy (DW-MRS) can measure diffusion properties of cell type-specific and intracellular metabolites. However, for advanced microstructure modeling, diffusion of brain metabolites has to be measured at specific length scales and with specific structural sensitivity. To this end, new diffusion encoding strategies have been developed, but not all have found their ways into DW-MRS. In this work, we fill this gap for spherical-tensor-encoding (STE), providing the first evidence that useful diffusion metrices of human brain metabolites can be quantified by combining DW-MRS, STE, and ultra-strong gradients.

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