Literature DB >> 23635288

Numerical study of ultra-low field nuclear magnetic resonance relaxometry utilizing a single axis magnetometer for signal detection.

Michael W Vogel1, Viktor Vegh, David C Reutens.   

Abstract

PURPOSE: This paper investigates optimal placement of a localized single-axis magnetometer for ultralow field (ULF) relaxometry in view of various sample shapes and sizes.
METHODS: The authors used finite element method for the numerical analysis to determine the sample magnetic field environment and evaluate the optimal location of the single-axis magnetometer.
RESULTS: Given the different samples, the authors analysed the magnetic field distribution around the sample and determined the optimal orientation and possible positions of the sensor to maximize signal strength, that is, the power of the free induction decay. The authors demonstrate that a glass vial with flat bottom and 10 ml volume is the best structure to achieve the highest signal out of samples studied.
CONCLUSIONS: This paper demonstrates the importance of taking into account the combined effects of sensor configuration and sample parameters for signal generation prior to designing and constructing ULF systems with a single-axis magnetometer. Through numerical simulations the authors were able to optimize structural parameters, such as sample shape and size, sensor orientation and location, to maximize the measured signal in ultralow field relaxometry.

Mesh:

Year:  2013        PMID: 23635288     DOI: 10.1118/1.4800491

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  2 in total

1.  Rotatable Small Permanent Magnet Array for Ultra-Low Field Nuclear Magnetic Resonance Instrumentation: A Concept Study.

Authors:  Michael W Vogel; Andrea Giorni; Viktor Vegh; Ruben Pellicer-Guridi; David C Reutens
Journal:  PLoS One       Date:  2016-06-06       Impact factor: 3.240

2.  3D-Spatial encoding with permanent magnets for ultra-low field magnetic resonance imaging.

Authors:  Michael W Vogel; Ruben Pellicer Guridi; Jiasheng Su; Viktor Vegh; David C Reutens
Journal:  Sci Rep       Date:  2019-02-06       Impact factor: 4.379

  2 in total

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