Theme: Diffusion Analysis



Diffusion Tensor Imaging (DTI) has become an important MRI procedure to investigate the integrity of white matter in brain in vivo. DTI is estimated from a series of acquired Diffusion Weighted Imaging (DWI) volumes.This technique, although relatively new, has become increasingly important for studies of anatomical and functional connectivity of the brain regions. DTI is now extensively used to study the fiber architecture in the living human brain It has been shown that brain structures in normal aging undergo significant changes attributed to neurodevelopmental and neurodegeneration processes as a lifelong, dynamic process. Modeling changes in healthy aging is necessary to explain differences to neurodegenerative patterns observed in mental illness and neurological disease. clinical research is often interested in the analysis of whole fiber tracts associated with specific tasks or cognitive function, in neonates as well as in adults.

Age-related changes of tract diffusion properties should therefore be represented at various positions of tracts, informing researchers about anatomical location and type of diffusion changes. We have developed novel methodologies for statistically analyzing DTI datasets among population groups.




DTI population atlas: Left Tensor field of atlas computed over 86 subjects: Middle: FA map calculated from tensor atlas. Right: Typical fiber bundles used in this study. Mid corpus callosum, sensory-motor and genu tracts are color-coded with FA, with [0 · · · 1] ranging from dark blue over yellow to red.


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