| Literature DB >> 21376812 |
Martin Reuter1, Bruce Fischl2.
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.Entities:
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Year: 2011 PMID: 21376812 PMCID: PMC3260043 DOI: 10.1016/j.neuroimage.2011.02.076
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556