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Abstract #3557

Experimental validation and SNR analysis of a clinical double diffusion encoding sequence

Leevi Kerkelä1, Rafael Neto Henriques2, Matt Hall1, Chris Clark1, and Noam Shemesh2

1UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom, 2Champalimaud Neuroscience Programme, Lisbon, Portugal

Double diffusion encoding (DDE) allows the estimation of microscopic fractional anisotropy (μFA), which is a promising metric for studying microstructural properties of brain tissue independent of orientation dispersion. However, a large number of acquisitions is needed to obtain a rotationally invariant measurement of μFA, which poses a problem in clinical settings. A DDE protocol with a reduced number of acquisitions has recently been proposed as a solution. In this study, we assessed the accuracy of this approach and its potential for reporting μFA accurately. Our results show that a reduced number of acquisitions is sufficient for characterizing μFA.

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