Yaohui Wang1, Fangfang Tang1, Yu Li1, Feng Liu1, and Stuart Crozier1
1The University of Queensland, Brisbane, Australia
Synopsis
A theoretical acoustic noise control method was proposed
through gradient pulse alterations. This method can remove the resonant-frequency
components of the gradient pulse and keep the pulse form. This method is easily
implemented without reassembling the MRI system elements. Simulation shows that
the noise reduction effect using this method is significant. Imaging quality
will be evaluated on future experimental measurements.Target audience
MR engineers who specialize in acoustic noise
control, gradient pulse design and hybrid system development.
Purpose
To reduce the acoustic noise level in a magnetic
resonance imaging and linear accelerator (MRI-LINAC) hybrid system by active
gradient pulse design.
Methods
In an MRI scanner, if the main frequency of a gradient pulse is
close to the natural frequency of the system, the gradient assembly will
vibrate significantly and emit loud noise. However, by avoiding the natural
frequencies of the system through gradient pulse alterations, it is expected
that the overall noise level will be attenuated [1]. Taking an echo planar
imaging (EPI) as an example, its basic pulse pattern is a trapezoidal form, as
is shown in Fig. 1. Its time-domain periodic function can be expressed as a
Fourier series shown in Eq. (1),$$ \begin{cases}f(t)=\sum\limits_{n=1}^\infty
b_n\sin\frac{2\pi nt}{4t_1+2t_2}
\\b_n=\frac{2}{4t_1+2t_2}\cdot\frac{2A}{t_1}(\frac{4t_1+2t_2}{2\pi
n})^2[\sin\frac{(2\pi nt_1)}{4t_1+2t_2}+\sin\frac{2\pi n(t_1+t_2)}{4t_1+2t_2}]
\end{cases}\qquad\qquad\qquad\qquad\qquad\qquad\qquad\qquad(1)$$where
A
is the plateau current value,
t1 is the rising or falling time and
t2 is the duration of
the plateau. We investigated the acoustic responses of a simulated 2D
simplified axisymmetric model of a split MRI scanner, an element of an
MRI-LINAC system (only the split gradient assembly including the z coils were
simulated and the assembly ends were fixed). A series of sinusoidal
gradient pulses were used to energize the z coils from 20 Hz to 20000 Hz and
the average sound pressure levels (SPL) in the central gap were calculated to
find the system’s resonant frequencies. The peak current value of the
sinusoidal pulses was 600 A and the static magnetic strength was 1 T. The
system is still currently being built. An acoustic model is shown in Fig. 2.
After the resonant frequencies were identified, we removed the sinusoidal
components of the pulse’s Fourier series, which were identical or close to the
system’s resonant frequencies. During the removal process of the sinusoidal
components, we set two principles, expressed as Eq. (2),$$ \begin{cases}SPL(f)>SPL_0
\\(A_{plateau-max}-A_{plateau-min})*0.5/A<3\%\end{cases}\qquad\qquad\qquad\qquad\qquad\qquad\qquad\qquad\qquad\qquad(2)
$$where
SPL(
f) is the acoustic
response with respect to frequency,
SPL0 is a designated SPL value,
Aplateau-max is the maximum current value of the pulse plateau and
Aplateau-min is the minimum current value of the pulse plateau. Namely, we
removed the sinusoidal components of those SPLs which were higher than a
designated value and the pulse plateau part of the remaining sinusoidal
components which had a deviation less than 3% [2, 3], which is an acceptably
small deviation from a perfect plateau for an EPI pulse. The pulse alteration
process balances these two principles in order to achieve an optimal pulse
form. Assuming the system is linear, the sound pressure of the EPI pulse is a
linear superposition of its sinusoidal components. The ultimate SPL can be
easily acquired from Eq. (3),$$
SPL=10\lg\left(\sum_{n=1}^{\infty}\frac{b_n}{A}\cdot\frac{p_n}{p_0}\right)^2=10\lg\sum_{n=1}^{\infty}\left(\frac{b_n}{A}\cdot\frac{p_n}{p_0}\right)^2=10\lg\sum_{n=1}^{\infty}\left(\frac{b_n}{A}\right)^2\cdot10^{0.1*SPL\left(\frac{n}{4t_1+2t_2}\right)}\quad(3)$$
where
pn is the effective value of pressure and
p0 is the referential sound pressure.
Results
The acoustic responses of the split MRI system were plotted and
are shown in Fig. 3. Here exemplifying
t1=237 μs,
t2=474 μs, the frequency components of the EPI pulse, its
corresponding single-frequency (with current peak value 600 A) acoustic
responses and amplitudes of its Fourier series are displayed in Table I. Using
the optimization procedures shown in Fig. 4, after a repeated comparison, SPL0 was designated as 116 dB, and then the bond italic frequency
components were removed from the Fourier series. The deviation of the pulse
plateau with the remaining sinusoidal components is 1.6%. The standard
trapezoidal pulse form and the altered one were plotted and are shown in Fig.
5, demonstrating great similarity. After the alteration, the overall SPL of the
exemplified EPI pulse was attenuated from 108.4 dB to 94.6 dB. Thus, a 13.8-dB
SPL reduction was acquired. In reality, the effect of the proposed method
depends on the frequency components of the pulse. The pulses with a higher
energy level at the resonant frequency components experience greater noise
reduction compared to those where the main energy is concentrated in a
non-resonant frequency band.
Discussion
The gradient pulse alteration method is investigated
theoretically on its ability to reduce the noise level of a split MRI system.
This method is easily implemented without changing or reassembling the split
MRI scanner. Future experimental measurements will be conducted to test the
effect of this method and evaluate imaging quality.
Conclusion
The proposed gradient pulse alteration method can effectively
attenuate the SPL of a split MRI system while keeping the pulse form. In
the exemplified case an overall SPL reduction of 13.8dB was achieved when the
proposed method was applied. It also kept the plateau deviation at 1.6%.
Acknowledgements
Financial support from the Australian Research Council is gratefully acknowledged.References
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