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Abstract #0474

Modelling Free Water in Diffusion MRI

Emmanuel Valle 1 , Gwenalle Douaud 1 , Andreas U Monsch 2 , Achim Gass 3 , Wenchuan Wu 1 , Stephen M Smith 1 , and Saad Jbabdi 1

1 FMRIB, University of Oxford, Oxford, Oxfordshire, United Kingdom, 2 Memory Clinic, University Center for Medicine of Aging Basel, Basel, Switzerland, 3 Department of Neurology, University Hospital Mannheim, Heidelberg, Germany

The nature and resolution of diffusion MRI make it very sensitive to partial volume effects, thus affecting the indices derived from the diffusion tensor. We propose here a novel way of fitting a two compartments model that does not require spatial regularization, and aims to retrieve the unbiased diffusion tensor. We evaluate our method with simulations and in-vivo Inversion Recovery data where Free Water signal was nulled. Finally, we assess how the new model impacts the results of a clinical study on Alzheimers disease.

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