Using Perturbation theory to reduce noise in diffusion tensor fields.
Ravi BansalLawrence H. StaibDongrong XuAndrew F. LaineJun LiuBradley S. PetersonPublished in: Medical Image Anal. (2009)
Keyphrases
- anisotropic diffusion
- diffusion tensor
- tensor field
- noise removal
- structure tensor
- perturbation theory
- dt mri
- diffusion process
- diffusion tensor images
- valued data
- riemannian framework
- diffusion tensor imaging
- scalar valued
- noise reduction
- additive noise
- diffusion weighted
- markov random field
- noise model
- curve evolution
- mri data
- white matter
- signal to noise ratio