Autocorrection is an adaptive motion correction algorithm that does not req
uire an in vivo measurement of the motion record. A novel method for ensuri
ng convergence of this algorithm when motion is severe is presented. A limi
ted number of navigator echoes are acquired before the imaging sequence to
obtain a "snap-shot" of the object. Phase differences between the navigator
and image k-space data are used as an estimate of motion-induced phase shi
fts in the image, followed by autocorrection. In phantom data a six-fold re
duction in computation time compared to autocorrection alone was realized.
These results indicate that this navigator/autocorrection combination may b
e useful for reducing motion artifacts and computation time for MR exams wh
en motion along the image phase encoding axis is severe. (C) 2000 Wiley-Lis
s, Inc.