Accelerated model‐based T1, T2* and proton density mapping using a Bayesian approach with automatic hyperparameter estimation

To achieve automatic hyperparameter estimation for the model-based recovery of quantitative MR maps from undersampled data, we propose a Bayesian formulation that incorporates the signal model and sparse priors among multiple image contrasts.