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  Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging

Kim, S.-G., Hyekyoung, L., Chung, M. K., Hanson, J. L., Avants, B. B., Gee, J. C., et al. (2012). Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging. In Proceedings of the 9th IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 42-45).

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JNet.ISBI2012.draft3.moo.pdf (Preprint), 11MB
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 Creators:
Kim, Seung-Goo1, Author           
Hyekyoung, Lee1, 2, 3, Author
Chung, Moo. K.1, 4, 5, Author
Hanson, Jamie L.5, 6, Author
Avants, Brian B.7, Author
Gee, James C.7, Author
Davidson, Richard J.5, 6, Author
Pollak, Seth D.5, 6, Author
Affiliations:
1Department of Brain and Cognitive Sciences, Seoul National University, Korea, ou_persistent22              
2Department of Nuclear Medicine, Seoul National University, Korea, ou_persistent22              
3Institute of Radiation Medicine, Seoul National University Hospital, Korea, ou_persistent22              
4Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA, ou_persistent22              
5Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI, USA, ou_persistent22              
6Department of Psychology, University of Wisconsin, Madison, WI, USA, ou_persistent22              
7Penn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, USA, ou_persistent22              

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Free keywords: Biomedical imaging;Brain;Correlation;Diffusion tensor imaging;Educational institutions;Jacobian matrices;biodiffusion;biomedical MRI;brain;medical image processing;Jacobian determinants;T1-weighted magnetic resonance imaging;diffusion tensor imaging;image processing;novel computational framework;tensor-based morphometry;volumetric white matter parcellations;white matter connectivity;brain network;structural connectivity;tensor-based morphometry;white matter atlas;
 Abstract: We are interested in investigating white matter connectivity using a novel computational framework that does not use diffusion tensor imaging (DTI) but only uses T1-weighted magnetic resonance imaging. The proposed method relies on correlating Jacobian determinants across different voxels based on the tensor-based morphometry (TBM) framework. In this paper, we show agreement between the TBM-based white matter connectivity and the DTI-based white matter atlas. As an application, altered white matter connectivity in a clinical population is determined.

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 Dates: 2012-05
 Publication Status: Issued
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 Identifiers: DOI: 10.1109/ISBI.2012.6235479
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Title: Proceedings of the 9th IEEE International Symposium on Biomedical Imaging (ISBI)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 42 - 45 Identifier: ISBN: 978-1-4577-1858-8