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LABORATORY FOR COMPUTATIONAL LONGITUDINAL NEUROIMAGING (LCLN)

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Avoiding Asymmetry-Induced Bias in Longitudinal Image Processing. M.Reuter, B.Fischl. NeuroImage 57(1):19-21, invited comment, 2011. [PDF] [BibTex] [DOI-Link] [PubMed] details

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. hide

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Martin Reuter - MIT - Cambridge, MA, USA - EMail: reu...@mit.edu
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