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IPMI
2011
Springer
10 years 4 months ago
Nonnegative Factorization of Diffusion Tensor Images and Its Applications
This paper proposes a novel method for computing linear basis images from tensor-valued image data. As a generalization of the nonnegative matrix factorization, the proposed method...
Yuchen Xie, Jeffrey Ho, Baba C. Vemuri
ACCV
2010
Springer
10 years 8 months ago
Network Connectivity via Inference over Curvature-Regularizing Line Graphs
Abstract. Diffusion Tensor Imaging (DTI) provides estimates of local directional information regarding paths of white matter tracts in the human brain. An important problem in DTI ...
Maxwell D. Collins, Vikas Singh, Andrew L. Alexand...
WBIR
2010
SPRINGER
10 years 11 months ago
Log-Domain Diffeomorphic Registration of Diffusion Tensor Images
Diffusion tensor imaging provides information about deep white matter anatomy that structural magnetic resonance images typically fail to resolve. Non-linear registration of diffus...
Andrew Sweet, Xavier Pennec
TMI
2008
118views more  TMI 2008»
10 years 11 months ago
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Imag
Abstract--Diffusion tensors are estimated from magnetic resonance images (MRIs) that are diffusion-weighted, and those images inherently contain noise. Therefore, noise in the diff...
Ying Yuan, Hongtu Zhu, Joseph G. Ibrahim, Weili Li...
JMIV
2007
116views more  JMIV 2007»
11 years 1 months ago
Viscosity Solutions of a Level-Set Method for Anisotropic Geometric Diffusion in Image Processing
We discuss the existence of viscosity solutions for a class of anisotropic level-set methods which can be seen as an extension of the mean-curvature motion with a nonlinear anisot...
Tobias Preusser
TMI
2008
122views more  TMI 2008»
11 years 1 months ago
The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging
Diffusion tensor magnetic resonance imaging (DT-MRI) is capable of providing quantitative insights into tissue microstructure in the brain. An important piece of information offere...
Cheng Guan Koay, U. Nevo, Lin-Ching Chang, Carlo P...
DAGM
2006
Springer
11 years 4 months ago
Diffusion-Like Reconstruction Schemes from Linear Data Models
In this paper we extend anisotropic diffusion with a diffusion tensor to be applicable to data that is well modeled by linear models. We focus on its variational theory, and invest...
Hanno Scharr
MICCAI
1999
Springer
11 years 5 months ago
Image Processing for Diffusion Tensor Magnetic Resonance Imaging
This paper1 describes image processing techniques for Diffusion Tensor Magnetic Resonance. In Diffusion Tensor MRI, a tensor describing local water diffusion is acquired for each v...
Carl-Fredrik Westin, S. E. Maier, B. Khidhir, Pete...
VISUALIZATION
1999
IEEE
11 years 5 months ago
Hue-Balls and Lit-Tensors for Direct Volume Rendering of Diffusion Tensor Fields
With the development of magnetic resonance imaging techniques for acquiring diffusion tensor data from biological tissue, visualization of tensor data has become a new research fo...
Gordon L. Kindlmann, David M. Weinstein
IFIP
2001
Springer
11 years 5 months ago
The Phenomenon of Diffusion
This paper presents processing and visualization techniques for Diffusion Tensor Magnetic Resonance Imaging (DT-MRI). In DT-MRI, each voxel is assigned a tensor that describes loc...
Tor J. Larsen
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