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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