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Abstract #1086

Microscopic anisotropy with spectrally modulated q-space trajectory encoding

Henrik Lundell1, Markus Nilsson2, Tim Bjørn Dyrby1,3, Geoff JM Parker4,5, Penny L Hubbard Cristinacce4, Fenglei Zhou4, Daniel Topgaard6, and Samo Lasic1,7

1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark, 2Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden, 34. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark, 4Centre for Imaging Sciences, The University of Manchester, Manchester, United Kingdom, 5Bioxydyn Limited, Manchester, United Kingdom, 6Division of Physical Chemistry, Department of Chemistry, Lund University, Lund, Sweden, 7CR Development AB, Lund, Sweden

Multi-dimensional diffusion encoding can, in contrast to conventional diffusion encoding, disambiguate between isotropic and anisotropic diffusional variance in multicompartment systems. This is done by varying the shape of the encoding tensor, i.e. going from measuring one projection of the diffusion tensors to measuring the trace of the diffusion tensors. Additional morphological features, such as the sizes of cells, are reflected in the diffusion spectrum. In this study we combine encoding tensors with varying spectral content and shape. This augmented protocol demonstrates distinctively different levels of microscopic fractional anisotropy (µFA) and time-dependent diffusion in phantoms and in white matter, cerebral cortex, and cerebellar cortex in a fixed monkey brain.

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