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Abstract #3498

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.