Meeting Banner
Abstract #3886

Fast Automatic Matching Control: Technical Advances & Initial Results of SNR Optimization

Matteo Pavan1, Roger Lchinger2, Klaas Paul Pruessmann2

1Institute for Biomedical Engineering,, University & ETH Zurich, Zurich, Switzerland; 2Institute for Biomedical Engineering, University & ETH Zurich, Zurich, Switzerland

Noise reduction is an important issue for SNR (Signal to Noise Ratio) maximization in MR measurements. Automatic Matching Networks (AMN) have been introduced and are a great tool to overcome notoriously difficult matching situation such as coil arrays, mechanically adjustable coils and in general coils that see different loading conditions. In this work a new automatic matching network has been implemented and tested, it allows automatic SNR measurements over thousands points in a short time, in a repeatable and robust way. An initial study of the behavior of the SNR has been done.