Abstract #3673
Quantitative framework for prospective motion correction evaluation
Nicolas Pannetier 1,2 , Theano Stavrinos 2 , Peter Ng 2 , Michael Herbst 3,4 , Maxim Zaitsev 4 , Karl Young 1 , Gerald Matson 1,2 , and Norbert Schuff 1,2
1
Radiology, UCSF, San Francisco, CA, United
States,
2
VAMC,
San Francisco, CA, United States,
3
Radiology,
JABSOM, Honolulu, HI, United States,
4
Radiology,
University Medical Center Freiburg, Freiburg, Germany
We provide a framework to quantitatively evaluate the
image quality improvement provided by prospective motion
correction (PMC) techniques while considering the
intrinsic motion variations between MRI acquisitions. We
tested this framework to compare 2 marker setups and we
show that considering the intrinsic motion as a
covariate changes the statistical significance of the
comparison. This framework could be used in larger
studies to compare efficiently different PMC setups and
fixation markers.
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