A Bayesian model-based approach to analysis of CEST MRI quantifies CEST effects more accurately than alternative approaches by fitting the Bloch-McConnell equations to measured Z-spectra and estimating the exchange rate and concentration of each labile proton population. However, estimates of exchange rate and concentration using this approach are correlated, making accurate estimation of either parameter in isolation difficult. In this study, we demonstrate using simulation and in vivo data that separation of this correlation may be possible by analysing data acquired with different B1 powers simultaneously.
This abstract and the presentation materials are available to members only; a login is required.