Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline.
Benjamin Ades-aronJelle VeraartPeter V. KochunovStephen McGuirePaul ShermanElias KellnerDmitry S. NovikovEls FieremansPublished in: NeuroImage (2018)
Keyphrases
- parameter estimation
- noise removal
- anisotropic diffusion
- markov random field
- diffusion equation
- diffusion filtering
- maximum likelihood
- markov chain monte carlo
- model selection
- least squares
- parameter estimates
- em algorithm
- edge detection
- denoising
- image enhancement
- fourth order
- partial differential equations
- noise reduction
- random fields
- parameter estimation algorithm
- approximate inference
- diffusion process
- expectation maximization
- edge preserving
- posterior distribution
- gaussian noise
- error rate
- nonlinear diffusion
- multiscale
- estimation problems
- image restoration
- diffusion tensor
- scale space
- higher order
- edge preservation
- experimental data
- bayesian networks