Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels.
Gopal NatarajJon-Fredrik NielsenClayton D. ScottJeffrey A. FesslerPublished in: IEEE Trans. Medical Imaging (2018)
Keyphrases
- parameter estimation
- model selection
- estimation problems
- least squares
- markov random field
- maximum likelihood
- magnetic resonance imaging
- regression model
- support vector
- reproducing kernel hilbert space
- statistical models
- gaussian processes
- em algorithm
- parameter estimation algorithm
- approximate inference
- magnetic resonance images
- medical images
- linear regression
- parameter values
- random fields
- kernel methods
- expectation maximization
- posterior distribution
- hyperparameters
- gaussian process
- sparse representation
- parameters estimation
- parameter estimates
- bayesian model selection
- feature selection
- kernel function
- probabilistic model
- feature space
- mr images
- markov chain