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Morphological changes in the corpus callosum: A study using joint Riemannian feature spaces

文献类型： 会议论文

第一作者： Meena Mani

作者： Meena Mani 1 ; Anuj Srivastava 2 ; Christian Barillot 3 ;

作者机构： 1.VisAGeS Project, IRISA/INRIA F-35042, Rennes, France,Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN, U.S.A.

2.Department of Statistics, Florida State University, Tallahassee, Florida, USA

3.VisAGeS Project, IRISA/INRIA F-35042, Rennes, France

关键词： Riemannian metrics;shape analysis;DTI;multiple sclerosis

会议名称： Conference on image processing

主办单位：

页码： 866908.1-866908.6

摘要： Shape, scale, orientation and position, the physical features associated with white matter DTI tracts, can, either individually or in combination, be used to define feature spaces. Recent work by Mani et al. describes a Riemannian framework in which these joint feature spaces are considered. In this paper, we use the tools and metrics denned within this mathematical framework to study morphological changes due to disease progression. We look at sections of the anterior corpus callosum, which describes a deep arc along the mid-sagittal plane, and show how multiple sclerosis and normal control populations have different joint shape-orientation signatures.

分类号： r312

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[1]EM-ICP strategies for joint mean shape and correspondences estimation: Applications to statistical analysis of shape and of asymmetry. Combes, Benoit,Fournier, Marc,Kennedy, David N.,Braga, Jose,Roberts, Neil,Prima, Sylvain. 2011

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