Abstract #4313
Software pipeline for thickness profile based morphological analysis of the midsagittal section of the corpus callosum
Christopher Leslie Adamson 1 , Richard Leslie Beare 1 , Mark Walterfang 2 , and Marc Seal 1
1
Developmental Imaging, Murdoch Childrens
Research Institute, Parkville, VIC, Australia,
2
Royal
Melbourne Hospital, Parkville, VIC, Australia
To present a fully automated software pipeline for
thickness profile based morphological analysis of the
midsagittal section of the corpus callosum (CC) using 3D
structural T1-weighted images. This pipeline contains a
novel CC segmentation algorithm that is demonstrated to
be efficient and highly accurate. The pipeline contains
midsagittal slice extraction, CC segmentation, quality
control tools, thickness profile generation, and
group-wise statistical analysis routines with display
scripts. The pipeline is implemented in MATLAB and is
computationally efficient, completing thickness profile
generation in 10 seconds per subject on average.
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