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Abstract #0741

Towards Clinical Translation of Microscopic Diffusion Spectrum Imaging

Enrico Kaden1, Noemi G Gyori1,2, Iulius Dragonu3, Chris A Clark2, and Daniel C Alexander1
1Centre for Medical Image Computing, University College London, London, United Kingdom, 2Great Ormond Street Institute of Child Health, University College London, London, United Kingdom, 3Siemens Healthcare Ltd, Frimley, United Kingdom

Conventional wisdom suggests that it is necessary to average the diffusion signal over the gradient directions to map microstructural features in the presence of orientational heterogeneity. Contrary to this belief, we show that powder-averaging the signal is redundant and leverage this insight to perform, within the same scan time, diffusion experiments with many rather than few b-values and with many rather than few gradient waveforms for b-tensor encoding and beyond, facilitating the translation of advanced techniques such as microscopic diffusion spectrum imaging to clinical practice.

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