Atlases of amygdala and hippocampus for pediatric populations

The long term goal of Computational Anatomy (CA) is to create algorithmic
tools that aid basic and clinical neuroscientists in the analysis of
variability in anatomical structures at different scales.
The aim is to provide capability for integrating 3D Slicer application and ITK software library with the statistical shape analysis
pipeline and thus enable the wider neuroimaging community to efficiently
analyze anatomical variations in disease. We have constructed anatomical atlases needed for analysis of shape vectors. These atlases were generated from
segmented hippocampal and amygdala structures in acquired populations of
children, adolescents and young adults in neuroimaging studies of major
depression disorder (MDD) at Washington University at St Louis. As a major
public health burden, MDD provides the biological testbed for the pipeline
from which probabilistic atlases will be generated. Software and datasets for statistical shape analysis of anatomical structures are thus provided.




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