Optimal Sampling for Quantitative Magnetization Transfer
Cercignani M, Alexander D
Intitute of Neurology,UCL
We present a method based on the CramerRao lower bound to optimize the sampling strategies for multi-parametric quantitative MRI techniques. The method is then applied to quantitative magnetization transfer (MT), where a number of parameters is estimated by fitting a non-linear model to the MRI signal obtained with different MT weightings. Simulations and real data show improved precision and accuracy in recovered parameters, suggesting that a reliable quantification of MT parameters from data collected in clinically acceptable scan times is feasible when using an optimal MT point sampling scheme.