Shaofeng Jie , Zhanchao Liu , Jingsong Wang , Shuai Zhang , Kangnan Zhao
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引用次数: 0
Abstract
Triaxial magnetic field coils are one of the most important components of magnetic resonance sensors. Traditional measurement methods for coil constants and non-orthogonal angles using fluxgate magnetometers are no longer suitable for small-volume nuclear magnetic resonance sensors. This study presents a method for measuring the coil constants and nonorthogonal angles of triaxial nuclear magnetic resonance coils using the dynamics of the electron paramagnetic resonance magnetometer without requiring any additional calibration equipment. After constructing the in-situ magnetometer, we measured the coil constants of the z- and the x-axes as 1189 nT/mA and 45.53 nT/mA, respectively. We obtained the nonorthogonal angle of approximately 0.18° between the z-axis and the x-y plane with a standard deviation of about 0.03° by solving the relevant trigonometric function. Additionally, the non-orthogonal angle between the x- and y-axes is approximately 1.70° with a standard deviation of about 0.17°. This study is significant for evaluating and reducing signal crosstalk errors and improving the accuracy of NMR sensors.
期刊介绍:
The Journal of Magnetic Resonance presents original technical and scientific papers in all aspects of magnetic resonance, including nuclear magnetic resonance spectroscopy (NMR) of solids and liquids, electron spin/paramagnetic resonance (EPR), in vivo magnetic resonance imaging (MRI) and spectroscopy (MRS), nuclear quadrupole resonance (NQR) and magnetic resonance phenomena at nearly zero fields or in combination with optics. The Journal''s main aims include deepening the physical principles underlying all these spectroscopies, publishing significant theoretical and experimental results leading to spectral and spatial progress in these areas, and opening new MR-based applications in chemistry, biology and medicine. The Journal also seeks descriptions of novel apparatuses, new experimental protocols, and new procedures of data analysis and interpretation - including computational and quantum-mechanical methods - capable of advancing MR spectroscopy and imaging.