1998
DOI: 10.1109/83.650848
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A pyramid approach to subpixel registration based on intensity

Abstract: We present an automatic subpixel registration algorithm that minimizes the mean square intensity difference between a reference and a test data set, which can be either images (two-dimensional) or volumes (three-dimensional). It uses an explicit spline representation of the images in conjunction with spline processing, and is based on a coarse-to-fine iterative strategy (pyramid approach). The minimization is performed according to a new variation (ML*) of the Marquardt-Levenberg algorithm for nonlinear least-… Show more

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Cited by 2,784 publications
(2,077 citation statements)
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References 48 publications
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“…Geometric distortion due to B0 field inhomogeneity was corrected for during reconstruction using a multi-echo reference scan [45]. Next, data were first co-registered and motion corrected using a pyramid iterative algorithm [46]. Finally, affne spatial transformation was used with the brain rotated into AC-PC coordinate frame and then linearly scaled into the Talairach reference frame prior to statistical analysis [47].…”
Section: Functional Mrimentioning
confidence: 99%
“…Geometric distortion due to B0 field inhomogeneity was corrected for during reconstruction using a multi-echo reference scan [45]. Next, data were first co-registered and motion corrected using a pyramid iterative algorithm [46]. Finally, affne spatial transformation was used with the brain rotated into AC-PC coordinate frame and then linearly scaled into the Talairach reference frame prior to statistical analysis [47].…”
Section: Functional Mrimentioning
confidence: 99%
“…The EPI images were corrected for geometrical distortion and Nyquist ghost artifacts using the multi-echo reference method (Schmithorst et al, 2001). The reconstructed EPI data were corrected for drift using quadratic baseline correction on a pixel-by-pixel basis (Hu et al, 1995;Le & Hu, 1996), co-registered to further reduce the effects of motion artifacts (Thevenaz & Unser, 1998), and transformed into Talairach coordinates (Talairach & Tournoux, 1988) using a linear affine transformation shown previously to be valid for individuals 5 to 18 years of age (Muzik & Chugani, 2000;Wilke et al, 2002).…”
Section: Fmri Data Acquisition and Analysesmentioning
confidence: 99%
“…Subjects' head movements were minimized by instructing them to remain still and by packing foam padding around their heads. Images were corrected for motion using a pyramid coregistration technique without landmarks that measures mean square differences in intensity between a reference image and succeeding time point images (Thévenaz and Unser, 1998). After realignment, all data sets were reviewed as a cine loop for uncorrected movement and were to be removed from the study if motion was detected.…”
Section: Image Acquisitionmentioning
confidence: 99%