Next Article in Journal
Influence of Tunnel Boring Machine (TBM) Advance on Adjacent Tunnel during Ultra-Rapid Underground Pass (URUP) Tunneling: A Case Study and Numerical Investigation
Previous Article in Journal
Assessment of Performance Enhancement Potential of a High-Temperature Parabolic Trough Collector System Combining the Optimized IR-Reflectors
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effective Suppression of Residual Magnetic Interference in a Conductive Shielded Room for Ultra-Low Field Nuclear Magnetic Resonance

1
College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
2
State Key Laboratory of Functional Materials for Informatic, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 865 Changning Road, Shanghai 200050, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(11), 3745; https://doi.org/10.3390/app10113745
Submission received: 25 April 2020 / Revised: 26 May 2020 / Accepted: 27 May 2020 / Published: 28 May 2020

Abstract

:
Residual magnetic interference induced by applied magnetic field pulses inside a conductive shielded room (SR) has been a common issue in ultra-low-field (ULF) nuclear magnetic resonance (NMR). The rapid cutoff of the applied pre-polarizing field (Bp) induces eddy currents in the walls of the SR, which produces a decaying residual magnetic interference that may cause severe image distortions and signal loss. In this study, a pair of cancellation coils (CC) and control electronics were designed for the suppression of the residual magnetic interference in a SR. Simulations show that this method was effective in suppressing the residual magnetic field (Br) after removal of the pre-polarizing magnetic field. Then, a small-scale SR was designed and the effectiveness of this cancellation scheme was experimentally verified. The test results showed a good agreement with the simulation, which indicated that the cancellation scheme was capable of reducing Br field to a much lower level. The scheme proposed in this study provides a solution for suppressing the residual magnetic field in the ULF NMR system. After decoupling the eddy–current field, the effect of the suppression may be further improved by optimization of the cancellation coil in further work.

1. Introduction

Ultra-low-field nuclear magnetic resonance (ULF NMR) is one of the hot research areas in the applications of superconducting quantum interference device (SQUID) [1,2,3]. Compared with the measurement field (Bm) strength in the conventional high-field apparatuses (HF-MRs) [4], the measurement field strength in ULF NMR is several orders of magnitude lower, which brings some advantages including inhomogeneous line broadening comparable to natural line widths or narrower, absence of distortion artifact with metal and chemical shift due to the strong main field and ease of Bm tuning over many octaves. As well as lower cost and decrease in volume, it is possible to obtain unique images with enhanced longitudinal relaxation time contrast [5]. The significantly lower measurement magnetic field in comparison with 1.5 T hospital MRI or 9 T lab MRI causes the reduction of signal-to-noise ratio, thus normally ULF NMR introduces strong pre-polarizing field (Bp) and works in magnetically shielded environments [6]. A pulsed Bp whose amplitude is 2–3 orders-of-magnitude stronger is critical to SNR enhancement since the signal amplitude is proportional to Bp strength [7,8,9,10]. However, pulsed operation of the Bp coil may magnetize and induce large eddy currents around shielding structures such as a magnetically or conductive shielded room. The transient magnetic field generated by the eddy currents may cause severe image distortions and signal loss, especially when the large pre-polarizing coil are employed for in vivo imaging [7].
A method for the assessment of magnetic properties of ferromagnetic materials at low magnetic field values was presented by Canova, A. et al. [11] and they designed a magnetically shielded room which can be effective against low-frequency external magnetic field disturbances. Li B. et al. [12] calculated and simulated the shielding effectiveness of the shielded room with different thicknesses of aluminum sheets to increase the SNR and improve image quality. Dong H. et al. [13] according to the relative position of the Bp coil and the shielded room, described two physical models of the conductive shielded room to simulate the transient fields at the sample position: the Bp coil plane parallel to the ceiling and floor of the shielded room and the coil plane perpendicular to the walls. In [14], superconducting connectivity technique was utilized to connect input coil and pickup coil in order to obtain the best SNR of the fetal magnetocardiography signals in a thin magnetically shielded room.
Suppression of the residual magnetic field (Br) makes it possible to increase the upper value of Bp and the magnetization intensity of the object to be measured. In [15], an effective method to design self-shielded polarizing coils for ULF NMR by connecting shielding coils and the polarizing coil in series with reversed currents was presented and the magnetic fields caused by the eddy currents were largely reduced. In their works the residual magnetic field enters steady state at about 300 ms while in our works the residual magnetic field enters steady state at about 110 ms. In [16], cancellation coils (CC) with discrete current loops connected in serial to the Bp coil was implemented using the method of inverse problem and it effectively neutralizes the magnetic field produced by the Bp coil on the SR walls. Zevenhoven, K. C. J et al. [17] introduced a dynamical cancellation method in which a precisely designed current waveform was applied to a separate coil after turning off the polarizing pulse. Complicated calculation is needed to figure out the cancellation current density distribution in [16] or the precisely designed cancellation current waveform in [17], while it was avoided in this study. By changing the number of turns of the CC which is connected in series with the Bp coil in the designed structure in this study, the residual magnetic field was suppressed effectively.
In this study, to reduce the impact of Br field inside a SR, a simple method which includes a pair of CCs symmetrically distributed along the Bp coil and a control electronics which can generate appropriate current for the Bp coil and the CC is presented. Simulation and experiment both show that this method can effectively suppress the residual magnetic interference in a small-scale SR. Simulation shows that with 70 turns CC, Br decays much faster than without CC and enters stable state very early once the Bp current switched off.

2. Theory

In previous research, it was found that the eddy currents in the SR can be modeled as a superposition of spatial patterns with amplitudes given by the elements of a vector j ( t ) , we can describe their excitation and dynamics by linear differential equations [18,19]
M d j ( t ) d t + R j ( t ) + m d I ( t ) d t = 0 ,
The elements on the diagonal of the symmetric matrix M are the self-inductances of the spatial eddy–current patterns and off-diagonal terms are mutual inductances of the spatial eddy–current patterns. The matrix R contains the resistances of the current patterns on its diagonal and the off-diagonal “mutual resistances” describe the Ohmic coupling between patterns that share the same conductor. The third term is an electromotive force (EMF) induced by the current I(t) in a coil, which couples to the eddy–current patterns via mutual inductance in the vector m .
The connection between magnetic field and eddy current can be expressed as
B ( t ) = β T j ( t ) .
Here, β is a coupling vector in which elements are corresponding to the points and magnetic-field components of interests [20] (the superscript T denotes the transpose).
Residual magnetic interference of pulse-induced transients has a significant influence on the magnetic signal to be measured and the residual magnetic is much smaller than the source magnetic that excites it. To observe it precisely, the residual magnetic shall be measured after the current through the Bp coil is completely switched off, because at that time it will dominate the magnetic field in the SR.
The current in Bp coil can be expressed as
{ I ( t ) = k ( 1 θ ( t ) ) d I ( t ) d t = k d θ ( t ) d t = k δ ( t ) .
Here, θ ( t ) is a unit step function, δ ( t ) is the unit pulse function, k is the maximum value of current in Bp coil. Substituting d I ( t ) d t = k δ ( t ) into (1) and applying the Fourier transform, one can get i ω M j ^ ( ω ) + R j ^ ( ω ) k m = 0 , then
j ^ ( ω ) = k ( i ω M + R ) 1 m = k j ^ I S R ( ω )
in which j ^ I S R ( ω ) = ( i ω M + R ) 1 m . The ISR means the inverse-step response.
By applying Fourier transform to (1), we may obtain i ω M j ^ ( ω ) + R j ^ ( ω ) + i ω m I ^ ( ω ) = 0 . Hence
j ^ ( ω ) = ( i ω Μ + R ) 1 m i ω I ^ = j ^ I S R ( ω ) i ω I ^ ( ω ) .
The inverse Fourier transform is performed to Equation (5) to get ( denotes convolution)
j ( t ) = ( j I S R d I d t ) ( t ) .
Provided that the magnetic-field response to an inverse step current in Equation (3) is known, the time evolution of the eddy–current magnetic field transient B(t) caused by any pulse waveform I(t) can be computed by
B ( t ) = ( B I S R d I d t ) ( t ) .
Equation (7) is suitable to estimate transient magnetic field for the CC and Bp coil in the SR.
The currents in the Bp coil and CC are Ip(t) and Ic(t), respectively. Suppose the coil have individual inductances m p and m c with the eddy–current patterns, leading to corresponding magnetic fields, B I S R ( p ) and B I S R ( c ) . The third term in Equation (1) becomes m p d I p ( t ) d t + m c d I c ( t ) d t and the total transient magnetic field B(t) becomes
B ( t ) = [ ( B I S R ( p ) d I p d t ) ( t ) + ( B I S R ( c ) d I c d t ) ( t ) .
In this study, the Bp coil is connected in series with the cancellation coil and they are both completely switched off in 2 ms. We take this moment as ts = 2 ms. When t > ts, d I ( t ) d t = 0 in Equation (1). Equation (1) can be written as
M d j ( t ) d t + R j ( t ) = 0 .
Then
d j ( t ) d t = ( M T M ) 1 M T R j ( t ) .
Finally, we can get
j ( t ) = e ( M T M ) 1 M T R t + K ,
where K is a constant. K equals zero because in practice the eddy current in a SR will decay to zero. Combined with Equation (2), we can get
B r ( t ) = β T j ( t ) = β T e ( M T M ) 1 M T R t .
Once the currents through Bp coil and CC completely switched off, we write Br(t) as B(t).
Then combining Equations (8) and (12), gives
[ ( B I S R ( p ) d I p d t ) ( t ) + ( B I S R ( c ) d I c d t ) ( t ) = β T e ( M T M ) 1 M T R t
Based on Equation (13), it can be shown that the residual eddy–current magnetic field can be divided into two parts. The first part is produced by BP coil and the second part by CC. According to reference [20], the residual eddy–current magnetic field can be expressed by
B r ( t ) = i = 1 N A i e t / τ i + C .
Combining Equations (13) and (14), when t > ts = 2 ms
B r 1 ( t ) = ( B I S R ( p ) d I p d t ) ( t ) = i = 1 N 1 A i e t / τ i + C 1 ,
B r 2 ( t ) = ( B I S R ( c ) d I c d t ) ( t ) = j = 1 N 2 A j e t / τ j + C 2 .
Here, N1 and N2 are positive integers; A i , τ i and τ j are positive numbers; A j is a negative number; Br1(t) and Br2(t) represent the eddy–current magnetic field generated by BP coil and CC coil in the SR, respectively and they are mutually offset.

3. Simulation

As a demonstration, a small-scale copper conductive SR was designed with dimension of 280 mm × 280 mm × 300 mm, and the wall thickness was 10 mm, as shown in Figure 1a. A pair of CCs was symmetrically configured above and below the Bp coil whose distance to each CC was 46 mm and the distance from Bp coil to the center of floor was 110 mm in the SR. The pair of CCs were connected in series with the Bp coil, so the current in the Bp coil was the same as that in the CC, but with opposite directions. The current was switched off in 2 ms. The parameters of the Bp coil and CC were shown in Table 1. The current through the Bp coil during the simulation is shown in Figure 1b.
Figure 2 shows the comparison of residual magnetic field component in z direction without and with CC measured with the magnetic sensor HMC2003. It can be seen from Figure 2 and Table 2, Br decayed much faster with the 70 turns CC configuration (In this configuration, the number of turns of CC was 70) than with no CC. When t > 10 ms, the Br with 70 turns CC had already entered a very low stage and most of the attenuation occurs before 10 ms.
The number of turns of CC had a significant impact on the effect of the cancellation. Figure 3 shows the residual magnetic field at the measuring point when the number of turns of the CC changed from 64 to 78. Figure 3a shows that the suppression effects of the residual magnetic field were quite obvious and Figure 3b shows the comparison of the suppression effects with different number of turns of CC.
From Figure 3, it can be seen that the best result occurs when the CC has 70 turns. However, overshoot of the cancellation of the eddy–current magnetic field can be observed under this condition, partly because the dimensions of the cancellation coil have not been optimized well enough, which will be an important aspect to be studied in the future.
It can be seen from the analysis in Section 2 that the acquired measurements Br(t) can be treated as a linear combination of exponentially decaying signals with multiple distinct time constants.
{ B r ( t ) = B r 1 ( t ) + B r 2 ( t ) B r 1 ( t ) = ( B I S R ( p ) d I p d t ) ( t ) = i = 1 N 1 A i e t / τ i + C 1 B r 2 ( t ) = ( B I S R ( c ) d I c d t ) ( t ) = j = 1 N 2 A j e t / τ i + C 2 .
According to [20], we set N 1 = 2 , N 2 = 2 , C 1 = C 2 = 0 . A i , τ i and τ j are positive numbers and A j is negative.
The expression of fitting curve Bz-fix1 in Figure 4 is
B z - f i x 1 = 8535 * e ( 28.2 t ) + 8553 * e ( 45.2 t ) .
Because there is no CC in this configuration and only the residual magnetic field in z direction is considered, eddy–current magnetic field is generated only by Bp coil in simulation.
Hence,
B r = B r 1 = B z - f i x 1 = 8535 * e ( 28.2 t ) + 8553 * e ( 45.2 t ) .
Br1 represents the eddy–current magnetic field generated by the Bp coil.
The expression of fitting curve Bz-fix2 in Figure 5 is
B z - f i x 2 = 8535 * e ( 28.2 t ) + 8553 * e ( 45.2 t ) 8380 * e ( 42.96 t ) 8372 * e ( 28.08 t )
Because there is CC in this configuration and only the residual magnetic field in z direction is considered, eddy–current magnetic field is generated by Bp coil and CC in simulation.
Hence,
B r = B r 1 + B r 2 = B z - f i x 2 = 8535 * e ( 28.2 t ) + 8553 * e ( 45.2 t ) 8380 * e ( 42.96 t ) 8372 * e ( 28.08 t ) .
Combining Equations (19) and (21), we can get the expression of the eddy–current magnetic field generated only by CC,
B r 2 = 8380 * e ( 42.96 t ) 8372 * e ( 28.08 t ) .
Therefore, we decouple the eddy–current magnetic field produced by the Bp coil and the CC in SR in simulation after the current is completely switched off at ts = 2 ms into two parts:
{ B r 1 = 8535 * e ( 28.2 t ) + 8553 * e ( 45.2 t ) B r 2 = 8380 * e ( 42.96 t ) 8372 * e ( 28.08 t )
To date, we have simulated the suppression effect of the SR with CC on the eddy–current magnetic field and decoupled the eddy–current magnetic field produced by the Bp coil and the CC by data fitting. We will now experimentally verify these theoretical predictions.

4. Experimental Results

An equipment representative of the configuration previously studied was manufactured, as illustrated in Figure 6, with a plastic holder supporting coil inside the SR. The current through the Bp coil, Ip, during the measurement was set as shown in Figure 7. In the experiment, the current Ip was generated by control electronics and we used the magnetic sensor HMC2003 to monitor the the residual magnetic field. After the current Ip was completely switched off at 2 ms, the CC which was connected in series with Bp coil can effectively suppress the residual magnetic field in the SR.
The control electronics which can be seen in Figure 8 was used to generate the Ip. The VDC was provided by the adjustable source voltage and the voltage was adjusted according to the required turn-off time. By increasing the source voltage, we can turn off the Ip faster. The analog board was used to amplify the current feedback signal to realize the closed-loop control. The function of reset control circuit was used to reset the magnetic sensor HMC2003 and make it recover from the saturation state under the external magnetic field.
Control logic of the electronics: the computer was connected to the DSP board through Ethernet and the DSP board outputs an interface to connect to the driver board. When it was needed to measure, the computer sends instructions to the DSP board (through Ethernet) and the DSP outputs PWM level on the port. At the same time, it detects the data of the current sensor, adjusts the PWM width to make the current Ip = 0.48 A, and lasts for a fixed time (> 2 s so that the eddy–current magnetic field produced by the rise of Ip had disappeared), and then sets the output to low level in 2 ms, completing one complete on/off cycle of the current Ip. The measurement windows of most ULF NMR fall between 10 ms to 2 s, so effective reduction of Br after 10 ms had a dominating impact on ULF NMR. By reducing the turnoff time of the current Ip, we can advance the measurement time of ULF NMR.
The measured Br without and with CC are shown in Figure 9. At the beginning, the field of measured point keeps unchanged at around 35,000 nT until t = 1 ms. This was because the magnetoresistive sensor employed to measure the magnetic field remains saturated, and it was unable to reflect the actual strength of the magnetic field before t = 1 ms. Indeed, the magnetic field produced by the Ip = 0.48 A in the z direction was 1.79 mT, which exceeded the measuring range of the magnetoresistive sensor; the magnetic field produced by both Ip = 0.48 A and Ic = 0.48 A in the z direction was 1.68 mT, which also exceeded. Br and its attenuation without and with CC at different times were shown in Table 3 and Table 4, in which the values come from the magnetic field waveform in Figure 9. It can be seen that without CC, when Ip was completely switched off at 2 ms, the attenuation of modulus value of Br at the measuring point in the SR was 98.42% while the attenuation was 99.89% with CC at the same time. The eddy–current magnetic field dominates Br when Ip was completely switched off at 2 ms. At this moment, the Br was 1851 nT with CC compared to 28,310 nT without CC, which was significantly suppressed. After ts = 2 ms, only the eddy–current magnetic field was left in the SR. Compared with the modulus value of Br at 2 ms, the attenuation of the modulus value of Br at 10 ms without CC was 28.40%, while the attenuation reaches 63.82% with CC; At 50 ms, the attenuation of modulus value of Br without CC was 83.59% while the attenuation was 97.09% with CC. It was demonstrated that with CC, the Br was significantly reduced in the SR, making great contribution to the improvement for suppressing the residual magnetic interference so that we can advance the measurement time of the ULF NMR and improve the SNR.
Figure 9 indicates that the Br (residual magnetic field in z direction) attenuates exponentially as a result of the eddy currents in the SR, therefore the time constants and amplitude of the magnetic field modes can be obtained by the measured data through curve fitting.
It was necessary to pay more attention to the range of data selected for curve fitting. The end time of the data to be fitted should be the time when Br enters into an almost unchanged steady state, which corresponds to the end of the attenuation process. The reason was that the accuracy of the used magnetoresistance sensor was not high enough and when the magnetic field Br enters the steady state and gradually tends to zero, the measured data of the magnetoresistance sensor was disturbed by noises, which will oscillate around zero. If the end time was too long, it affected the fitting accuracy.
As shown in Figure 9, the blue and black curves represent the original value of Br without and with CC, respectively. We fit the two curves after ts = 2 ms in Figure 10 respectively when currents were completely switched off.
In Equation (17), we still set N 1 = 2 , N 2 = 2 , C 1 = C 2 = 0 . The expression of fitting curve Bz-fix1 in Figure 10a is
B z - f i x 1 = 15123 * e ( 29.78 t ) + 15174 * e ( 50.79 t ) .
Because there is no CC in this configuration and only the residual magnetic field in z direction is considered, eddy–current magnetic field is generated only by Bp coil.
Hence,
B r = B r 1 = B z - f i x 1 = 15123 * e ( 29.78 t ) + 15174 * e ( 50.79 t )
Br1 represents eddy–current magnetic field generated by Bp coil.
The expression of fitting curve Bz-fix2 in Figure 10b is
B z - f i x 2 = 15123 * e ( 29.78 t ) + 15174 * e ( 50.79 t ) 14251 * e ( 47.3 t ) 14452 * e ( 29.39 t )
Because there is CC in this configuration and only the residual magnetic field in z direction is considered, eddy–current magnetic field is generated by Bp coil and CC.
Hence,
B r = B r 1 + B r 2 = B z - f i x 2 = 15123 * e ( 29.78 t ) + 15174 * e ( 50.79 t ) 14251 * e ( 47.3 t ) 14452 * e ( 29.39 t )
Combining Equations (25) and (27), we can get the expression of the eddy–current magnetic field generated only by CC,
B r 2 = 14251 * e ( 47.3 t ) 14452 * e ( 29.39 t ) .
Therefore, we decouple the eddy–current magnetic field produced by Bp coil and CC in the SR after the current is completely switched off at ts = 2 ms into two parts:
{ B r 1 = 15123 * e ( 29.78 t ) + 15174 * e ( 50.79 t ) B r 2 = 14251 * e ( 47.3 t ) 14452 * e ( 29.39 t )
It can be seen from 10 that the curve fittings are satisfactory. Br is decoupled into the superposition of Br1 and Br2, which makes it possible to deeply analyze the relationship between the attenuation signal Br and the structure of SR with CC in the future [7].

5. Conclusions

In this study, a pair of effective cancellation coils connected in series with the Bp coil was designed for suppression of the residual magnetic interference in a SR. Simulation and experiment in a small-scale SR demonstrate that this method was effective in reducing the influence of the eddy effect. Simulation shows that with 70 turns CC, Br decays much faster than without CC. Experimental results show that, with the same current in the Bp coil the modulus value of Br with CC was 1851 nT when the current was completely switched off at two milliseconds, while the modulus value of Br without CC was 28,310 nT. When compared with the modulus value of Br at two milliseconds, the attenuation of modulus value of Br with CC was 97.09% (the modulus value of Br attenuated to 53.92 nT from 1851 nT) while the attenuation was 83.59% without CC at 50 ms (the modulus value of Br attenuated to 4647 nT from 28,310 nT). It was thus demonstrated that with CC, the Br was significantly reduced in the SR which makes great contribution to the improvement for suppressing the residual magnetic interference. Therefore, we can advance the measurement time of the ULF NMR and improve the SNR.
Through theoretical derivation and experiment, the eddy–current magnetic field produced by Bp coil and CC in the SR was decoupled into two parts after the current was completely switched off at two milliseconds and the mathematical expressions were obtained. Therefore, it was possible to deeply analyze the relationship between the attenuation signal Br and the structure of SR with CC in the future.
Although a notable improvement was achieved for suppressing the residual magnetic interference in this work, further improvement on this scheme was still required, especially on the optimization of the size and structure of the cancellation coil, to obtain a better cancellation of the residual magnetic interference. In addition, the application of this method to a full-scale SR needs to be studied in the future.

Author Contributions

Conceptualization, D.Z. and J.L.; methodology, Y.T.; software, Y.T., D.Z. and M.S.; validation, Y.T. and D.Z.; formal analysis, Y.T., D.Z.; investigation, M.S.; data curation, Y.T.; writing—original draft preparation, Y.T. and M.S.; writing—review and editing, D.Z.; supervision, J.L.; project administration, D.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Opening Foundation of the State Key Laboratory of Functional Materials for Informatics, Grant Number SKL-2017-07, and National Key R&D Program of China, Grant Number 2016YFB1200601-B12.

Acknowledgments

The authors gratefully thank Hui Dong for thoughtful comments on the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tsunaki, S.; Yamamoto, M.; Abe, T.; Hatta, J.; Hatsukade, Y.; Tanaka, S. Application of Ultra-Low Field SQUID-NMR/NMR System to Contaminant Detection. Tech. Rep. Ieice Sce 2012, 112, 65–68. [Google Scholar]
  2. Yamamoto, M.; Toyota, H.; Kawagoe, S.; Hatta, J.; Tanaka, S. Development of Ultra-low Field SQUID-NMR System with an LC Resonator. Phys. Procedia 2015, 65, 197–200. [Google Scholar] [CrossRef] [Green Version]
  3. Luomahaara, J.; Kiviranta, M.; Gronberg, L.; Zevenhoven, K.C.J.; Laine, P. Unshielded SQUID Sensors for Ultra-Low-Field Magnetic Resonance Imaging. IEEE Trans. Appl. Supercond 2018, 28, 1–4. [Google Scholar] [CrossRef]
  4. Shaunagh, M.; Alexander, R.G. Magnetic Nanoparticles in the Imaging of Tumor Angiogenesis. Appl. Sci. 2012, 2, 525–534. [Google Scholar]
  5. Clarke, J.; Hatridge, M.; Mößle, M. SQUID-Detected Magnetic Resonance Imaging in Microtesla Fields. Annu. Rev. Biomed. Eng. 2007, 9, 389–413. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Zevenhoven, K.C.J.; Busch, S.; Hatridge, M.; Fredrik, O.; Risto, J.L.; Clarke, J. Conductive shield for ultra-low-field magnetic resonance imaging: Theory and measurements of eddy currents. J. Appl. Phys. 2014, 115, 103902. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Dong, H.; Qiu, L.Q.; Shi, W.; Chang, B.L.; Qiu, Y.; Xu, L.; Liu, C.; Zhang, Y.; Krause, H.J.; Offenhausser, A. Ultra-low field magnetic resonance imaging detection with gradient tensor compensation in urban unshielded environment. Appl. Phys. Lett. 2013, 102, 102602. [Google Scholar]
  8. Chen, H.H.; Yang, H.C.; Horng, H.E.; Liao, S.H.; Yang, S.Y.; Wang, L.M. A compact SQUID-detected magnetic resonance imaging system under microtesla field in a magnetically unshielded environment. J. Appl. Phys. 2011, 110, 093903. [Google Scholar] [CrossRef]
  9. Lee, S.Y.; Kim, K.; Kang, C.S.; Hwang, S.M.; Lee, Y.H. Pre-polarization enhancement by dynamic nuclear polarization in SQUID-based ultra-low-field nuclear magnetic resonance. Supercond. Sci. Technol. 2010, 23, 115008–115013. [Google Scholar] [CrossRef]
  10. Magnelind, P.E.; Gomez, J.J.; Matlashov, A.N.; Espy, M.A. Co-registration of interleaved MEG and ULF NMR using a 7 channel low-T c SQUID system. IEEE Trans. Appl. Supercond. 2011, 21, 456–460. [Google Scholar] [CrossRef]
  11. Canova, A.; Freschi, F.; Giaccone, L.; Repetto, M. Numerical Modeling and Material Characterization for Multilayer Magnetically Shielded Room Design. IEEE Trans. Magn. 2018, 54, 1–4. [Google Scholar] [CrossRef]
  12. Li, B.; Dong, H.; Huang, X.L.; Qiu, Y.; Tao, Q.; Zhu, J.M. Performance study of aluminum shielded room for ultra-low-field magnetic resonance imaging based on SQUID: Simulations and experiments. Chin. Phys. B 2018, 27, 277–283. [Google Scholar] [CrossRef]
  13. Dong, H.; Chang, S.; Qiu, Y.; Tao, Q.; Huang, X.L.; Pei, Y. Simulation and Measurements of Transient Fields from Conductive Plates of Shielded Room for SQUID-Based Ultralow Field Magnetic Resonance Imaging. IEEE Trans. Appl. Supercond. 2019, 29, 1–5. [Google Scholar] [CrossRef]
  14. Wang, J.; Yang, K.; Yang, R.; Kong, X.; Chen, W. SQUID Gradiometer Module for Fetal Magnetocardiography Measurements inside a Thin Magnetically Shielded Room. IEEE Trans. Appl. Supercond. 2019, 29, 1–4. [Google Scholar] [CrossRef]
  15. Nieminen, J.O.; Vesanen, P.T.; Zevenhoven, K.C.J.; Dabek, J.; Hassel, J.; Luomahaara, J.; Penttilä, J.S.; Ilmoniemi, R.J. Avoiding eddy-current problems in ultra-low-field NMR with self-shielded polarizing coils. J. Magn. Reson. 2011, 212, 154–160. [Google Scholar] [PubMed]
  16. Hwang, S.M.; Kim, K.; Kang, C.S.; Lee, S.J.; Lee, Y.H. Effective cancellation of residual magnetic interference induced from a shielded environment for precision magnetic measurements. Appl. Phys. Lett. 2011, 99, 136–138. [Google Scholar] [CrossRef]
  17. Zevenhoven, K.C.J.; Dong, H.; Ilmoniemi, R.J.; Clarke, J. Dynamical cancellation of pulse-induced transients in a metallic shielded room for ultra-low-field magnetic resonance imaging. Appl. Phys. Lett. 2015, 106, 034101. [Google Scholar] [CrossRef]
  18. Malmivuo, J.; Lekkala, J.; Kontro, P.; Suomaa, L.; Vihinen, H. Improvement of the properties of an eddy-current magnetic shield with active compensation. J. Phys. E Sci. Instrum. 1987, 20, 151–164. [Google Scholar] [CrossRef]
  19. Fujita, S.; Igarashi, H. Reduction of Eddy Current Loss in Rectangular Coil Using Magnetic Shield: Analysis with Homogenization Method. IEEE Trans. Magn. 2019, 55, 1–4. [Google Scholar] [CrossRef]
  20. Hwang, S.M.; Kim, K.; Kang, C.S.; Lee, S.J.; Lee, Y.H. Evaluation of cancellation coil for precision magnetic measurements with strong prepolarization field inside shielded environment. J. Appl. Phys. 2012, 118, 1–9. [Google Scholar] [CrossRef]
Figure 1. (a) Simulation model of the SR with Bp coil and cancellation coils (CC) inside; (b) pulsed current through the Bp coil during the simulation.
Figure 1. (a) Simulation model of the SR with Bp coil and cancellation coils (CC) inside; (b) pulsed current through the Bp coil during the simulation.
Applsci 10 03745 g001
Figure 2. Comparison of residual magnetic field component in z direction without and with CC. (a) Decay curves of magnetic field in the SR; (b) decay curves of eddy current field after ts = 2 ms. Simulation results in Figure 2 are detailed in Table 2.
Figure 2. Comparison of residual magnetic field component in z direction without and with CC. (a) Decay curves of magnetic field in the SR; (b) decay curves of eddy current field after ts = 2 ms. Simulation results in Figure 2 are detailed in Table 2.
Applsci 10 03745 g002
Figure 3. Comparison of residual magnetic field component in z-direction with different number of turns of CC after 2 ms; (a) including the decay curve without CC; (b) excluding the decay curve without CC.
Figure 3. Comparison of residual magnetic field component in z-direction with different number of turns of CC after 2 ms; (a) including the decay curve without CC; (b) excluding the decay curve without CC.
Applsci 10 03745 g003
Figure 4. Curve fittings of the residual magnetic field in z direction without CC. ’+’ type of the blue curve is simulation data after ts = 2 ms; The black curve Bz-fix1 is the fitting curve.
Figure 4. Curve fittings of the residual magnetic field in z direction without CC. ’+’ type of the blue curve is simulation data after ts = 2 ms; The black curve Bz-fix1 is the fitting curve.
Applsci 10 03745 g004
Figure 5. Curve fittings of the residual magnetic field in z direction with 70 turns CC. ‘+’ type of the red curve is experimental data after ts = 2 ms; black curve Bz-fix2 is the fitting curve.
Figure 5. Curve fittings of the residual magnetic field in z direction with 70 turns CC. ‘+’ type of the red curve is experimental data after ts = 2 ms; black curve Bz-fix2 is the fitting curve.
Applsci 10 03745 g005
Figure 6. Photo of the manufactured SR. A plastic holder was applied to support Bp coil and CC (front door of SR was temporarily removed). Considerable amounts of bolts were configured along the contact areas of the SR walls to better reduce the impedance of the eddy current.
Figure 6. Photo of the manufactured SR. A plastic holder was applied to support Bp coil and CC (front door of SR was temporarily removed). Considerable amounts of bolts were configured along the contact areas of the SR walls to better reduce the impedance of the eddy current.
Applsci 10 03745 g006
Figure 7. The current through the Bp coil during the test.
Figure 7. The current through the Bp coil during the test.
Applsci 10 03745 g007
Figure 8. Detailed circuit diagram of the control electronics.
Figure 8. Detailed circuit diagram of the control electronics.
Applsci 10 03745 g008
Figure 9. Comparison of the residual magnetic fields in z-direction without and with CC.
Figure 9. Comparison of the residual magnetic fields in z-direction without and with CC.
Applsci 10 03745 g009
Figure 10. (a) Curve fittings of the residual magnetic in z direction field without CC. Circled blue curve is experimental data after ts = 2 ms; red curve Bz-fix1 is the fitting curve; (b) curve fittings of the residual magnetic field in z direction with CC. ‘+’ type of the black curve is experimental data after ts = 2 ms; red curve Bz-fix2 is the fitting curve.
Figure 10. (a) Curve fittings of the residual magnetic in z direction field without CC. Circled blue curve is experimental data after ts = 2 ms; red curve Bz-fix1 is the fitting curve; (b) curve fittings of the residual magnetic field in z direction with CC. ‘+’ type of the black curve is experimental data after ts = 2 ms; red curve Bz-fix2 is the fitting curve.
Applsci 10 03745 g010
Table 1. Parameters of the Bp coil and the cancellation coil.
Table 1. Parameters of the Bp coil and the cancellation coil.
ParametersBp coilCancellation coil (CC)
MaterialCopperCopper
Inside diameter60 mm160 mm
Outside diameter80 mm170 mm
Section area300 mm250 mm2
Number of conductors75070
Table 2. Br without CC and with 70 turns CC at different times.
Table 2. Br without CC and with 70 turns CC at different times.
Br 10 ms2 ms10 ms50 ms100 ms
Without CC1.85 × 106 nT16,040 nT11,850 nT816 nT848.1 nT
With 70 turns CC1.73 × 106 nT289.7 nT103 nT−59.51 nT−24.57 nT
1Br is the residual magnetic field in z direction at the measuring point. TMmeasuring point is at the center of the top of Bp coil.
Table 3. Br without and with CC at different times.
Table 3. Br without and with CC at different times.
Br10 ms2 ms10 ms50 ms100 ms
Without CC1.79 × 106 nT28,310 nT20,270 nT4647 nT848.1 nT
With CC1.68 × 106 nT1851 nT669.7 nT−53.92 nT−41.6 nT
1Br is the residual magnetic field in z direction at the point to be measured.
Table 4. Attenuation percentage of modulus value of Br without and with CC at different times.
Table 4. Attenuation percentage of modulus value of Br without and with CC at different times.
Attenuation Percentage of Modulus Value of BrFrom 0 ms to 2 msFrom 2 ms to 10 msFrom 2 ms to 50 msFrom 2 ms to 100 ms
Without CC98.42%28.40%83.59%97.00%
With CC99.89%63.82%97.09%97.75%

Share and Cite

MDPI and ACS Style

Tan, Y.; Zhou, D.; Song, M.; Li, J. Effective Suppression of Residual Magnetic Interference in a Conductive Shielded Room for Ultra-Low Field Nuclear Magnetic Resonance. Appl. Sci. 2020, 10, 3745. https://doi.org/10.3390/app10113745

AMA Style

Tan Y, Zhou D, Song M, Li J. Effective Suppression of Residual Magnetic Interference in a Conductive Shielded Room for Ultra-Low Field Nuclear Magnetic Resonance. Applied Sciences. 2020; 10(11):3745. https://doi.org/10.3390/app10113745

Chicago/Turabian Style

Tan, Yiqiu, Danfeng Zhou, Mengxiao Song, and Jie Li. 2020. "Effective Suppression of Residual Magnetic Interference in a Conductive Shielded Room for Ultra-Low Field Nuclear Magnetic Resonance" Applied Sciences 10, no. 11: 3745. https://doi.org/10.3390/app10113745

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop