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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Magnetic ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Magnetic Resonance Imaging
Article . 2010 . Peer-reviewed
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Effects of gradient non‐linearity correction and intensity non‐uniformity correction in longitudinal studies using structural image evaluation using normalization of atrophy (SIENA)

Authors: Hidemasa, Takao; Osamu, Abe; Naoto, Hayashi; Hiroyuki, Kabasawa; Kuni, Ohtomo;

Effects of gradient non‐linearity correction and intensity non‐uniformity correction in longitudinal studies using structural image evaluation using normalization of atrophy (SIENA)

Abstract

AbstractPurpose:To evaluate the effects of gradient nonlinearity correction and intensity nonuniformity correction on longitudinal (two‐year) changes in global and regional brain volumes.Materials and Methods:A total of 208 subjects (70 females and 138 males, age range = 38.1–83.0 years) were included in this study. Each subject was scanned twice, at an interval of approximately two years (range = 1.5–2.3 years). Three‐dimensional fast spoiled‐gradient recalled acquisition in the steady state (3D‐FSPGR) images corrected for gradient nonlinearity and/or intensity nonuniformity were compared with uncorrected 3D‐FSPGR images with use of structural image evaluation using normalization of atrophy 2.6 (SIENA).Results:The mean absolute deviations of percentage brain volume change (PBVC) values in the gradient nonlinearity ± intensity nonuniformity corrected images were significantly less than that in the uncorrected images, and the difference in the mean absolute deviation of PBVC was the most significant between the uncorrected images and the images corrected for both gradient nonlinearity and intensity nonuniformity. Voxel‐wise comparisons showed large significant differences between the uncorrected images and the corrected images.Conclusion:Correction for gradient nonlinearity and intensity nonuniformity reduces the variance of measured longitudinal changes in brain volumes and will improve accuracy for detecting subtle brain changes. J. Magn. Reson. Imaging 2010;32:489–492. © 2010 Wiley‐Liss, Inc.

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Keywords

Adult, Aged, 80 and over, Male, Brain Mapping, Brain, Middle Aged, Magnetic Resonance Imaging, Image Processing, Computer-Assisted, Humans, Female, Longitudinal Studies, Atrophy, Software, Aged

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
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