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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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