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Abstract #1602

Subject-Motion Correction in HARDI Acquisitions: Choices and Consequences

Shireen Elhabian 1 , Yaniv Gur 1 , Joseph Piven 2 , Martin Styner 2,3 , Ilana Leppert 4 , G. Bruce Pike 4,5 , and Guido Gerig 1

1 Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, United States, 2 Psychiatry, University of North Carolina, North Carolina, United States, 3 Computer Science, University of North Carolina, North Carolina, North Carolina, United States, 4 Neurology and Neurosurgery, Montral Neurological Institute, Montral, Quebec, Canada, 5 Radiology, University of Calgary, Calgary, Canada

Diffusion weighted imaging (DWI) is known to be sensitive to motion originating from vibration, cardiac pulsation, breathing and subject movement, creating artifacts which require post-imaging correction. Users often do not fully understand the consequences of different choices for post-correction schemes for HARDI such as elimination versus alignment of affected DWIs with inherent choices of image interpolation, and how correction would affect ODF estimation, ability to resolve crossing fibers and final quantitative measures. We report about an experimental synthetic data platform and comparison with real data to systematically explore motion correction schemes under different scenarios to provide recommendations for best choices.

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