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Abstract #2461

Quantifying the Repeatability of Microstructural Measures Derived from Free Gradient Waveforms

Kristin Koller1, Chantal MW Tax1,2, Dmitri Sastin1,3,4, and Derek K Jones1,5
1Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 2Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 3Department of Neurosurgery, University Hospital of Wales, Cardiff, United Kingdom, 4BRAIN Biomedical Research Unit, Health & Care Research Wales, Cardiff, United Kingdom, 5Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia

Diffusional variance decomposition (DIVIDE) is a promising state-of-the-art approach to measure microscopic microstructure using ‘free’ gradient waveforms (including spherical and linear tensor encoding). Here, in a cohort of 6 participants scanned 5 times each with the DIVIDE protocol, we quantify the microscopic FA (μFA) and isotropic and anisotropic diffusional variance (MKi and MKa) across scans, thus demonstrating high test-retest repeatability.

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