Literature DB >> 30608654

Automatic Adaptive Gain for Magnetic Resonance Sensitivity Enhancement.

Mazin Jouda1, Erwin Fuhrer1, Pedro Silva1, Jan G Korvink1, Neil MacKinnon1.   

Abstract

The decaying nature of magnetic resonance (MR) signals results in a decreasing signal-to-quantization noise ratio (SQNR) over the acquisition time. Here we describe a method to enhance the SQNR, and thus the overall signal-to-noise ratio (SNR), by dynamically adapting the gain of the receiver before analog-to-digital conversion (ADC). This is in contrast to a standard experiment in which the gain is fixed for a single data acquisition and is thus adjusted only for the first points of the signal. The gain adjustment in our method is done automatically in a closed loop fashion by using the envelope of the MR signal as the control signal. Moreover, the method incorporates a robust mechanism that runs along with signal acquisition to monitor the gain modulation, enabling precise recovery of the signals. The automatic adaptive gain (AGAIN) method requires minimal additional hardware and is thus general and can be implemented in the signal path of any commercial spectrometer system. We demonstrate an SNR enhancement factor of 2.64 when applied to a custom spectrometer, while a factor of 1.4 was observed when applied to a commercial spectrometer.

Year:  2019        PMID: 30608654     DOI: 10.1021/acs.analchem.8b05148

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  1 in total

1.  A Nuclear Magnetic Resonance (NMR) Platform for Real-Time Metabolic Monitoring of Bioprocesses.

Authors:  Ninad Mehendale; Felix Jenne; Chandrakant Joshi; Swati Sharma; Shyam Kumar Masakapalli; Neil MacKinnon
Journal:  Molecules       Date:  2020-10-13       Impact factor: 4.411

  1 in total

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