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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