We have a large number of scans that have been processed through the standard cross-sectional stream. Subjects have a number of repeated scans, so we now want to take advantage of the longitudinal stream.
When first beginning to run subjects through longitudinal template creation, we noticed a warning message in some cases in the log: ******************************************************************************* WARNING: Image geometries differ across time, maybe due to aquisition changes? This can potentially bias a longitudinal study! Will continue in 10s. *******************************************************************************
Looking into it, there does indeed appear to have been a change in the reconstruction stream that led to images at different times during the study to have slightly different voxel dimensions, changing from 1x1x1.2 to 1.01x1.01x1.2mm voxels.
Our question is if there is some way to fix this prior to starting the longitudinal stream but without having to redo the original cross-sectional processing and editing that has been completed?
-- Mike Angstadt Research Computer Specialist / PANLab Lab Manager Department of Psychiatry / University of Michigan (734) 936-8229
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