Structural connectivity via the tensor-based morphometry

The tensor-based morphometry (TBM) has been widely used in characterizing tissue volume difference between populations at voxel level. We present a novel computational framework for investigating the white matter connectivity using TBM. Unlike other diffusion tensor imaging (DTI) based white matter connectivity studies, we do not use DTI but only T1-weighted magnetic resonance imaging (MRI). To construct brain network graphs, we have developed a new data-driven approach called the ε-neighbor method that does not need any predetermined parcellation. The proposed pipeline is applied in detecting the topological alteration of the white matter connectivity in maltreated children.

• Type: Journal
• Year: 2011
• Where: ISBI
• Authors: Seung-Goo Kim, Moo K. Chung, Jamie L. Hanson, Brian B. Avants, James C. Gee, Richard J. Davidson, Seth D. Pollak
• Keywords: Diffusion Tensor Imaging, ISBI 2011, Magnetic Resonance Imaging, Medical Imaging, Network Graphs