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Abstract #3319

The impact of multi-compartment microstructure on single-compartment T1 estimates

Giorgia Milotta1, Nadège Corbin1,2, Antoine Lutti3, Siawoosh Mohammadi4,5, and Martina Callaghan1
1Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 2Centre de Résonance Magnétique des Systèmes Biologiques, UMR5536, CNRS/University Bordeaux, Bordeaux, France, 3Laboratory for Research in Neuroimaging, Department for Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4Department of Systems Neurosciences, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 5Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

Quantitative relaxometry in the brain is appealing because of its microstructural sensitivity. Estimating bulk parameters assumes a single relaxation time per voxel, which is only valid when the residency time is short with respect to T1. In reality, the relative contribution of sub-compartments will depend on flip angle and echo time. Here, we simulate a two-compartment model (myelin and intra-extracellular water) and estimate T1 with FA-specific signals derived via three estimation schemes. We quantify the impact of myelin water fraction, residency time and transmit field inhomogeneity on these estimates and find good correspondence with in vivo T1 estimates at 7T.

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