Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here