Abstract #1787

Exploring the potentials and limitations of improved free-water elimination DTI techniques

Rafael Neto Henriques¹, Ørjan Bergmann², Ariel Rokem³, Ofer Pasternak⁴, and Marta Morgado Correia¹

¹Cognition and Brain Sciences Unit, MRC, Cambridge, United Kingdom, ²Haukeland University Hospital, Bergen, Norway, ³eScience Institute, The University of Washington, Seattle, WA, United States, ⁴Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States

Free-water diffusion tensor imaging (fwDTI) was previously proposed to remove CSF partial volume effects of measures based on the diffusion tensor. Nevertheless, this diffusion-weighted technique is still subject to several pitfalls. In this study, an improved algorithm to fit the fwDTI to data acquired with two or more diffusion-weighting gradients is proposed. This algorithm is then used to explore the advantages and limitations of suppressing free-water in synthetic and in vivo diffusion-weighted data.

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