A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images.
Kai KrajsekMarion I. MenzelHanno ScharrPublished in: Int. J. Comput. Vis. (2016)
Keyphrases
- bayesian framework
- diffusion tensor images
- tensor field
- riemannian metric
- prior knowledge
- generative model
- white matter
- maximum a posteriori
- diffusion tensor imaging
- probability density function
- gaussian process
- magnetic resonance imaging
- posterior distribution
- vector space
- diffusion tensor
- human brain
- corpus callosum
- atlas construction
- mri data
- high dimensional
- fisher information
- expectation maximization
- statistical analysis
- infinite dimensional
- riemannian manifolds
- affine invariant
- structure tensor
- deformation field
- probabilistic model
- covariance matrices
- image processing