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Abstract #0420

Biophysically motivated efficient estimation of spatially isotropic component from a single, standard gradient recalled echo measurement

Sebastian Papazoglou1, Tobias Streubel1,2, Mohammad Ashtarayeh1, Kerrin Pine2, Evgeniya Kirilina2,3, Markus Morawski4, Carsten Jäger2, Stefan Geyer2, Martina F Callaghan5, Nikolaus Weiskopf2, and Siawoosh Mohammadi1

1Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Department of Education and Psychology - Neurocomputation and Neuroimaging Unit, Freie Universität Berlin, Berlin, Germany, 4Paul Flechsig Institute of Brain Research, University of Leipzig, Leipzig, Germany, 5Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, United Kingdom

Gradient recalled echo-based $$$R_{2}^{*}$$$ measurements are sensitive to the degree of myelination of white matter fibres and their local orientation inside the magnetic field of the MR scanner. This orientation dependence has been observed experimentally and could be explained biophysically by anisotropic susceptibility of the myelin sheaths. In case of single, quantitative $$$R_{2}^{*}$$$ measurements the orientation dependence represents a potential confounder, since the observed $$$R_{2}^{*}$$$ would be biased by the sample’s orientation inside the scanner. Here, we propose an efficient method for separating $$$R_{2}^{*}$$$ into orientation dependent and independent components based on a biophysically motivated higher order $$$R_{2}^{*}$$$ decay model.

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