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Abstract #2784

Can diffusion weighted spectroscopy (DWS) in brain white matter become a viable clinical tool? A re-producibility/robustness study at 3T and 7T

Ece Ercan 1 , Emily T. Wood 2,3 , Andrew Webb 1 , Daniel S. Reich 2 , and Itamar Ronen 1

1 C. J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2 Translational Neuroradiology Unit (NINDS), National Institutes of Health, Bethesda, Maryland, United States, 3 Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States

Diffusion weighted spectroscopy (DWS) of brain metabolites allows study cell-specific alterations in tissue microstructure by probing the diffusion of intracellular metabolites. In particular, the diffusion properties of the neuronal/axonal N-acetylaspartate have been shown to be sensitive to intraneuronal/axonal damage in a variety of pathologies, such as stroke and multiple sclerosis. Missing so far are empirical assessments of the reproducibility of DWS measures across time and subjects, as well as a systematic investigation of optimal acquisition parameters for DWS experiments, sorely needed for clinical applications of the method. We investigated the inter- and intra-subject variability of empirical and modeled diffusion properties of tNAA. Subsequently, we used a jackknife-like resampling approach to explore the variance of these properties in a set of partial data subsets reflecting different total scan duration.

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