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» A Riemannian Scalar Measure for Diffusion Tensor Images
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ECCV
2004
Springer
14 years 3 months ago
Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
P. Thomas Fletcher, Sarang C. Joshi
IPMI
2005
Springer
14 years 10 months ago
A Riemannian Approach to Diffusion Tensor Images Segmentation
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images. Our approach is grounded on the theoretically well-founded differential...
Christophe Lenglet, Mikaël Rousson, Rachid De...
ISBI
2008
IEEE
14 years 10 months ago
Comparison of fractional and geodesic anisotropy in diffusion tensor images of 90 monozygotic and dizygotic twins
We used diffusion tensor magnetic resonance imaging (DTI) to reveal the extent of genetic effects on brain fiber microstructure, based on tensor-derived measures, in 22 pairs of m...
Agatha D. Lee, Natasha Lepore, Marina Barysheva, Y...
CVPR
2008
IEEE
14 years 11 months ago
Clustering and dimensionality reduction on Riemannian manifolds
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
Alvina Goh, René Vidal
VISSYM
2007
14 years 5 days ago
Segmentation of DT-MRI Anisotropy Isosurfaces
While isosurfaces of anisotropy measures for data from diffusion tensor magnetic resonance imaging (DT-MRI) are known to depict major anatomical structures, the anisotropy metric ...
Thomas Schultz, Holger Theisel, Hans-Peter Seidel