Longitudinal FreeSurfer for Reliable Imaging Biomarkers.
M.Reuter, HD.Rosas, B.Fischl.
MICCAI NIBAD'12 Challenge, 12 pages, Nice, 2012.
[PDF]
[BibTex]
details
We have presented an unbiased longitudinal processing framework previously. Here we discuss an extension to improve results in subjects with large ventricles. Furthermore, we demonstrate methods to investigate longitudinal data via scatter plots, as well as linear models and non-linear flow lines. Using normalized brain volume to estimate disease progression, we find increased atrophy rates in several structures in advanced disease stages. We also highlight how linear fits into percent volume changes can support QA and detection of early disease effects. Finally we show improved surface placement accuracy when using longitudinal image processing in cases with low image quality relative to independent processing. hide |