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IPMI
2005
Springer
14 years 5 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...
CVPR
2008
IEEE
14 years 7 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
MICCAI
2002
Springer
14 years 5 months ago
New Approaches to Estimation of White Matter Connectivity in Diffusion Tensor MRI: Elliptic PDEs and Geodesics in a Tensor-Warpe
Abstract. We investigate new approaches to quantifying the white matter connectivity in the brain using Diffusion Tensor Magnetic Resonance Imaging data. Our first approach finds a...
Lauren O'Donnell, Steven Haker, Carl-Fredrik Westi...
CVPR
2007
IEEE
14 years 7 months ago
A Graph Cut Approach to Image Segmentation in Tensor Space
This paper proposes a novel method to apply the standard graph cut technique to segmenting multimodal tensor valued images. The Riemannian nature of the tensor space is explicitly...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
MICCAI
2004
Springer
14 years 5 months ago
Anisotropic Interpolation of DT-MRI
Diffusion tensor MRI (DT-MRI) is an image modality that is gaining clinical importance. After some preliminaries that describe the fundamentals of this imaging modality, we present...
Carlos A. Castaño-Moraga, Miguel A. Rodr&ia...