Abstract #3576

Test-retest reliability of 3-tissue constrained spherical deconvolution of diffusion MRI data by analysis of three separate cohorts

Benjamin T Newman¹, Thijs Dhollander^2,3, Kristen A Reynier⁴, Matthew B Panzer⁴, and Thomas Jason Druzgal¹

¹Department of Radiology & Medical Imaging, Division of Neuroradiology, University of Virginia Health System, University of Virginia, Charlottesville, VA, United States, ²The Florey Department of Neuroscience, University of Melbourne, Melbourne, Australia, ³The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, ⁴Center for Applied Biomechanics, University of Virginia, Charlottesville, VA, United States

It has previously been demonstrated that, by using 3-tissue constrained spherical deconvolution, separate compartments encompassing cerebrospinal fluid-like, white matter-like, and grey matter-like, signal fractions can be derived from diffusion MRI data. This study explores the reliability of these compartments in three test-retest cohorts with a variety of timescales and scanning parameters. Whole-brain average signal fractions show excellent reliability across all datasets, particularly in determining the CSF-like signal fraction. This suggests that variations in whole brain signal fraction measurements are likely to be attributable to experimental manipulation or pathology and not variation introduced by performing the analysis.

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