Algorithms to reliably detect motion in navigator echoes are crucial t
o many MRI motion suppression techniques. The accuracy of these algori
thms is affected by noise and deformation of navigator echo profile ca
used by physiologic motion. This study compared the performance of alg
orithms based on correlation and least squares for extracting displace
ment information from motion-monitoring navigator echoes, using comput
er simulation and in vivo imaging, The least squares algorithm was det
ermined to be of higher accuracy than the correlation algorithm agains
t errors caused by noise and profile deformation.