Abstract #1539

Mapping Higher Order Components of the GRE Signal Decay at 7T with Short TE Data through Adaptive Smoothing

Martina F Callaghan¹, Kerrin J Pine¹, Karsten Tabelow², Joerg Polzehl², Nikolaus Weiskopf^1,3, and Siawoosh Mohammadi^1,4

¹Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom, ²Weierstrass Institute, Berlin, Germany, ³Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, ⁴Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

In vivo histology aims to extract biologically relevant metrics from MRI data. In neuroimaging this includes characterising white matter fibres in terms of orientation, distribution and g-ratio, or determining the cortical myelo- and cyto-architecture. It has been shown, both theoretically and experimentally, that the signal decay in gradient recalled echoes (GRE) exhibits higher order temporal behaviour that is dependent on a variety of intra-voxel microstructural metrics. Here we use adaptive smoothing to generate maps of both the first and second order components of the temporal decay of the GRE signal from short TE data using a time-efficient multi-parameter mapping protocol.

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