Neuroimage. 2011 Jul 1;57(1):19-21 doi: 10.1016/j.neuroimage.2011.02.076. 2011 Mar 03.

Avoiding asymmetry-induced bias in longitudinal image processing

Reuter M, Fischl B.

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.

PMID: 21376812