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Hybrid Digital Phase-Locked Loop and Moving Average Filtering Improves SNR in Spatio-Temporal Field Monitoring

MPS-Authors
/persons/resource/persons192839

Chang,  Paul
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons133452

Eschelbach,  Martin
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84187

Scheffler,  Klaus
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84402

Henning,  Anke
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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http://www.ismrm.org/14/program_files/TP04.htm
(Abstract)

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Citation

Chang, P., Eschelbach, M., Scheffler, K., & Henning, A. (2014). Hybrid Digital Phase-Locked Loop and Moving Average Filtering Improves SNR in Spatio-Temporal Field Monitoring. Poster presented at Joint Annual Meeting ISMRM-ESMRMB 2014, Milano, Italy.


Cite as: https://hdl.handle.net/21.11116/0000-0001-32FA-D
Abstract
Recent spatio-temporal B0 field monitoring methods utilise an array of NMR probes to measure the dynamics of the B0 field. The B0 field is usually characterised by spherical harmonic coefficients which are obtained from the phase signals (or phase coefficients) of the probe FIDs. A hybrid method is presented that uses a moving average filter in conjunction with a digital phase locked-loop filter to improve the SNR of the phase signals measured by the NMR probes. This method takes advantage of the FID SNR to reduce the phase jitter in the phase signal. It is also easy to implement for real-time applications.