Statistical Tissue Classification in a Bayesian Framework Part II

Statistical modeling in a Bayesian framework applied to MRI This lecture formulates our statistical approach to tissue characterization in a Bayesian framework [10, 17]. The Bayesian approach is chosen because it is both expressive and flexible, and accounts for many promising and potentially useful clinical applications. In a broad sense the Bayesian paradigm is " to take prior beliefs about various possible hypotheses and then modify these prior beliefs in the light of relevant data which we have collected in order to arrive at posterior beliefs " [10].