Abstract #0603
Parallel excitation pulse design using Bayesian inference theory
Wiesinger F, Vogel M, Gross P, Zhu Y, Piel J, Loew W, Giaquinto R, Koenig H
GE Global Research
One of the most promising technological developments of recent years was the extension of parallel imaging from the receive case towards signal excitation with transmit arrays. Most importantly parallel transmission holds great promise for achieving improved excitation homogenization, reduced pulse length for extended multi-dimensional selective excitations, reduction of the SAR and mitigation of B0 induced blurring. In this work a novel parallel transmit pulse design framework based on Bayesian inference theory is presented, which enables the incorporation of prior knowledge in a comprehensive fashion. In addition to numerical Biot-Savart simulations, experimental results of parallel transmission at 3T are presented.
