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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-8
Jeffrey Duda , Penn Image Computing and Science Laboratory, University of Pennsylvania, USA
Brian Avants , Penn Image Computing and Science Laboratory, University of Pennsylvania, USA
Junghoon Kim , Moss Rehabilitation Research Institute, Junghoon Kim, Albert Einstein Healthcare Network, USA
Hui Zhang , Penn Image Computing and Science Laboratory, University of Pennsylvania, USA
Sunil Patel , Moss Rehabilitation Research Institute, Junghoon Kim, Albert Einstein Healthcare Network, USA
John Whyte , Moss Rehabilitation Research Institute, Junghoon Kim, Albert Einstein Healthcare Network, USA
James Gee , Penn Image Computing and Science Laboratory, University of Pennsylvania, USA
ABSTRACT
Diffusion tensor (DT) images quantify connectivity patterns in the brain while the T1 modality provides high-resolution images of tissue interfaces. Our objective is to use both modalities to build subject-specific, quantitative models of fiber connections in order to discover effects specific to a neural system. The health of this thalamo-cortical network is compromised by traumatic brain injury, and we hypothesize that these effects are due to a primary injury to the thalamus which results in subsequent compromise of radiating fibers. We first use a population-specific average T1 and DT template to label the thalamus and Brodmann areas (BA) 9,10 and 11 in each subject. We also build an expected connection model within this template space that is transferred to subject space in order to provide a prior restriction on probabilistic tracking performed in subject space. We evaluate the effect of traumatic brain injury on this prefrontal-thalamus network by quantifying, in 10 subjects and 8 controls, the mean diffusion and fractional anisotropy along fiber tracts, along with the mean diffusion within the thalamus and cortical regions. We contrast results gained by a template-based tract definition with those gained by performing analysis in the subject space. Both approaches reveal connectivity effects of TBI, specifically a region of reduced FA in the white matter connecting the thalamus to BA 10.
CITATION
Jeffrey Duda, Brian Avants, Junghoon Kim, Hui Zhang, Sunil Patel, John Whyte, James Gee, "Multivariate analysis of thalamo-cortical connectivity loss in TBI", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-8, doi:10.1109/CVPRW.2008.4562992
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