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CVPR
2001
IEEE
14 years 6 months ago
Diffusion Tensor Regularization with Constraints Preservation
This paper deals with the problem of regularizing noisy fields of diffusion tensors, considered as symmetric and semi-positive definite ? ? ? matrices (as for instance 2D structur...
David Tschumperlé, Rachid Deriche
ICCV
2003
IEEE
13 years 10 months ago
Variational Frameworks for DT-MRI Estimation, Regularization and Visualization
We address three crucial issues encountered in DT-MRI (Diffusion Tensor Magnetic Resonance Imaging) : diffusion tensor Estimation, Regularization and fiber bundle Visualization. ...
David Tschumperlé, Rachid Deriche
ECCV
2002
Springer
14 years 6 months ago
Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization
Nonlinear partial differential equations (PDE) are now widely used to regularize images. They allow to eliminate noise and artifacts while preserving large global features, such as...
Christophe Chefd'Hotel, David Tschumperlé, ...
IJCV
2002
140views more  IJCV 2002»
13 years 4 months ago
Orthonormal Vector Sets Regularization with PDE's and Applications
We are interested in regularizing fields of orthonormal vector sets, using constraint-preserving anisotropic diffusion PDE's. Each point of such a field is defined by multiple...
David Tschumperlé, Rachid Deriche
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...