… motion parameter estimations are biased by the activated areas. Therefore, this paper describes
several experiments aiming at selecting a better similarity measure … of squares measure. …

… 3D-OCT motion correction algorithms. We present an advanced 3D-OCT motion correction
… An intensity similarity measure using the pseudo Huber norm and a regularization scheme …

… Moreover, RIU similarity measure seems potentially biased in some situations according to
our experiment with RIU-Custom and the level of spatial smoothing. In fact, the field of robust …

… energy function for the similarity measure presented in this paper. The motion vector field
supplies us … different motion correction procedures prior to subtraction. A global interactive shift …

… If unsaturated magnetization enters the measurement volume due to through-plane
motion, … similarity metric (eg mutual information, signal differences, etc). This purely image-based …

… We build an outlier-tolerant distance measure between motion-words. Our approach does
… the erroneous parts, and is very similar to the motion that has been manually corrected. …

… 25 Unless explicitly noted otherwise, the other similarity measures described in this section
assume their extreme value only when I0(xx) = I(x + dd): 26 An anagram of the word spectrum…

… images to the corresponding measured MOLLI images in a frame-… correlation as the image
similarity measure, as its explicit … after motion correction was computed as the Dice similarity …

… It is worth noting that the FWHM of spatial correlation in motion-corrected data sets (a measure
of spatial smoothness) varied by less than 0.1 mm across tools, and by less than 0.3 mm …

… a similarity measure and … motion cannot be corrected, leading to low similarity after registration.
With suitable α and α z however, both goals are reasonably balanced and high similarity …