Abstract #2806
DTI Geometric Distortion Correction by Non-Linear Registration and Field Map Correction: Quantitative Analysis of DTI Tractography and Fractional Anisotropy
David Rotenberg 1 , Peter Savadjiev 2 , Yogesh Rathi 2 , Aristotle Voineskos 3,4 , and M. Mallar Chakravarty 5,6
1
Research Imaging Centre, Centre for
Addiction and Mental Health, Toronto, Ontario, Canada,
2
Laboratory
of Mathematics and Imaging, Harvard Medical School, MA,
United States,
3
Centre
for Addiction and Mental Health, Ontario, Canada,
4
Department
of Psychiatry, University of Toronto, Ontario, Canada,
5
Cerebral
Imaging Centre, Douglas Mental Health University
Institute, Quebec, Canada,
6
Department
of Psychiatry, McGill University, Quebec, Canada
Diffusion Weighted imaging data are typically collected
with echo planar imaging (EPI) sequences, prone to
geometric distortion in the phase-encode direction.
Geometric distortion in EPI images can be minimized by
non-linear registration to an anatomical reference
image, or by using b0 field maps. In this work we
perform an investigation of both field mapping and
non-linear registration distortion correction
techniques, to evaluate their effect on standard
downstream diffusion tensor imaging metrics and
tractography. We also present SSECC (Simultaneous
Susceptibility and Eddy Current Correction),which
corrects for the unique eddy-current and geometric
distortions affecting each diffusion image, in an
integrated fashion. Tractography, and Tract-Based
Statistics results indicate that despite having received
little attention in the literature, geometric distortion
may have a profound impact on both tractography and
diffusion metrics, specifically FA, which appears to be
substantially affected throughout the imaging volume.
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