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Abstract #0551

Disentangling diffusion-weighted SSFP: ADC estimates in terms of an effective diffusion time

Benjamin C Tendler1, Saad Jbabdi1, Sean Foxley2, Menuka Pallebage-Gamarallage3, Moises Hernandez-Fernandes4, Martin R Turner3, Olaf Ansorge3, and Karla Miller1

1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Department of Radiology, University of Chicago, Chicago, IL, United States, 3Clinical Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 4Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, United States

Diffusion-weighted SSFP (dwSSFP) is a high-SNR-efficiency diffusion imaging method. Unlike conventional diffusion measurements, the dwSSFP signal reflects a range of diffusion times because the signal is recycled over multiple excitations. This complicates interpretation and leads to an ill-defined b-value. We present a framework to describe dwSSFP-derived ADC estimates in terms of an effective diffusion time. To achieve this, we require dwSSFP measurements at two flip-angles. Experimental results are presented in a whole, postmortem brain at 7T. This enables us to simultaneously addresses flip-angle inhomogeneity at 7T and provide ADC estimates that are more comparable to conventional diffusion MRI.

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