Abstract #0645

Robust double-diffusion-encoded spectroscopy (DDES) in the human brain on a clinical MR scanner using metabolite-cycling

André Döring^1,2, Jessie Mosso¹, Roland Kreis^3,4, Nicholas G Dowell⁵, Derek K Jones², Chloé Najac⁶, Matt G Hall⁷, Henrik Lundell^8,9, Lijing Xin¹, and Itamar Ronen⁵

¹CIBM Center for Biomedical Imaging, EPFL Lausanne, Lausanne, Switzerland, ²Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, ³Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology,, University Bern, Bern, Switzerland, ⁴Translational Imaging Center, sitem-insel, Bern, Switzerland, ⁵Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom, ⁶C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, ⁷National Physical Laboratory, Teddington, United Kingdom, ⁸Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark, ⁹Department of Health Technology, Technical University of Denmark, Lyngby, Denmark

Synopsis

Keywords: Microstructure, Brain, DDE, metabolites, microstructure

Motivation: Double-Diffusion-Encoded Spectroscopy (DDES) provides multiple metrics of cell-specific morphology in a single MR experiment but is prone to motion-induced signal distortions.

Goal(s): To obtain robust microstructural metrics of cell-type specific diffusion in different brain regions.

Approach: We combine DDES with metabolite-cycling (MC) and motion-compensation (MoCom) to correct for signal distortions in post processing.

Results: MoCom improves DDES data quality and reproducibility and allows metabolite specific diffusion metrics to be obtained on clinical 3T MR scanners.

Impact: The implementation of robust Double-Diffusion-Encoded Spectroscopy (DDES) on clinical MR scanners can shed new light on cellular microstructure in the healthy and pathological brain.

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