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
FMRIB, University of Oxford, Oxford,
Oxfordshire, United Kingdom,
Clinic, University Center for Medicine of Aging Basel,
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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