Efficient eddy current characterization using a 2D image-based sampling scheme and a model-based fitting approach.

Michael Schwerter Markus Zimmermann Jörg Felder Nadim Joni Shah

Published in: Magnetic resonance in medicine (2020)

The proposed framework was found to be well-suited to efficiently characterize and compensate for eddy current fields in a one-time calibration effort. It can be applied to facilitate pre-emphasis implementations, such as for dynamic B0 shimming applications.

Keyphrases

deep learning
machine learning
low cost