Title
Avoiding asymmetry-induced bias in longitudinal image processing.
Abstract
Longitudinal image processing procedures frequently transfer or pool information across time within subject, with the dual goals of reducing the variability and increasing the accuracy of the derived measures. In this note, we discuss common difficulties in longitudinal image processing, focusing on the introduction of bias, and describe the approaches we have taken to avoid them in the FreeSurfer longitudinal processing stream.
Year
DOI
Venue
2011
10.1016/j.neuroimage.2011.02.076
NeuroImage
Keywords
Field
DocType
image processing
Psychology,Image processing,Cognitive psychology,Bias (Epidemiology),Asymmetry
Journal
Volume
Issue
ISSN
57
1
1053-8119
Citations 
PageRank 
References 
47
1.91
11
Authors
2
Name
Order
Citations
PageRank
Martin Reuter134916.09
Fischl Bruce24131219.39