Shi Su1,2, Ye Ding1,2, Jiahao Hu1,2, Vick Lau1,2, Yujiao Zhao1,2, Junhao Zhang1,2, Christopher Man1,2, Alex T.L. Leong1,2, and Ed X. Wu1,2
1Laboratory of Biomedical Imaging and Signal Processing, the University of Hong Kong, Hong Kong, China, 2Department of Electrical and Electronic Engineering, the University of Hong Kong, Hong Kong, China
Synopsis
Keywords: Low-Field MRI, Elastography
Recent
development of ultra-low-field (ULF) MRI presents opportunities for low-cost
and portable imaging in point-of-care scenarios or/and low- and mid-income
countries. Magnetic resonance elastography (MRE) is an essential part of MR abdominal
imaging especially for chronic liver diseases. In this study, we explore the MRE
at 0.055 Tesla. We demonstrate the feasibility of MRE based on phantom
experiments at 0.055 Tesla.
Introduction
Magnetic resonance elastography (MRE) allows noninvasive
quantification of tissue mechanical properties [1]. It can provide
valuable information in aiding the diagnosis of chronic liver diseases [2],
prostate cancer screening [3], et al. However, due to the required
long echo time (TE) for motion encoding gradients (MEG), MRE suffers from severe
susceptibility introduced signal loss where iron overload, metal implants and
air-tissue interface exit [4]. Ultra-low-field (ULF) MRI has much
less susceptibility artifacts than high field, and also presents tremendous opportunities
for low-cost and portable MRE in point-of-care scenarios or/and low- and
mid-income countries [5-11]. MRE has been successfully demonstrated
at 0.1 Tesla [4], and we further push it to a lower field of 0.055
Tesla in this study.Method
Phantom experiments
All
phantom experiments were conducted on a permanent magnet based 0.055 Tesla MRI scanner
with a head coil [5].
The scanner was compact and free from any magnetic and RF shielding. The
MRE phantom consisted of 2 types of silicone rubber S1 and S2 with different
stiffnesses and the same volume of 130×65×110mm3 (Fig. 1a). This phantom was stored in a
3D-printed square box with size of 140×140×120mm3 and wall thickness
of 5mm (Fig. 1a). The custom vibration
system consisted of signal generator, audio amplifier, loudspeaker and PVC hard
tube (Fig. 1b). The sinusoidal signal was generated, and the
corresponding sinusoidal vibration was conveyed by the PVC tube to the surface of
the MRE phantom.
3D
GRE sequences were implemented with MEG applied along slice direction. The sequence
parameters were: MEG frequency = 200Hz, MEG amplitude = 12mT/m, flip angle = 35°,
TE = 11ms, BW = 10kHz, acquisition resolution = 4×4×4mm3, matrix
size = 40×40×32, slab thickness = 128mm, NEX = 1. The vibration was applied
along slice direction at the center of the contact plane. The radius of circle contact
surface was 10mm. Two vibration frequencies of 50Hz and 100Hz were used. The corresponding
TRs were 40ms and 50ms, resulting in the scan time of 51s and 64s.
Five pairs of fully sampled
data with default (MEG+) and inverted (MEG-) polarity MEG
was acquired with five different sinusoidal signal phases (0°, 72°, 144°, 216°
and 288°). One pair of reference data was also acquired with opposite MEGs (REF+
and REF-) and no vibration.
Data processing
All
the acquired k-space data were first processed for electromagnetic interference
(EMI) signal removal by utilizing the EMI sensing coil signals [6]. The EMI removed
k-space data were filtered with 3D Hamming window, and then 2× zero-padded
before imaging reconstruction, resulting in a display resolution of 2×2×2mm3. Each pair of MEG+ and MEG-, as well as REF+ and REF-,
was first complex-conjugate multiplication to obtain MEG and REF data.
Afterwards, the motion encoded phase was obtained by subtracting REF phase from
MEG phase, and then 3D phase unwrapping was conducted to the motion encoded
phase. Regions-of-interest (ROIs) were generated based on the reference data,
to exclude the noisy background.
Three adjacent slices of 12mm, 16mm and 20mm beneath the vibration surface were extracted (Fig. 2a&3a, from left to right). Then, wave profiles were
extracted from the middle seven lines along readout direction. Finally, the
shear stiffness µ was
calculated as: µ=ρ·λ2·fvib2 , where ρ was silicone density of 1000kg/m3, λ was the
wavelength and fvib was the
vibration frequency [4].Results
The
phase variations induced by wave propagation on different slices were shown in
Fig. 2a. With a vibration frequency of 100 Hz, the estimated wavelengths of different
silicone rubbers were 44mm and 60mm (Fig.
2b), resulting in the shear stiffness of 19.4kPa and 36kPa, respectively.
Also, the estimated wave lengths held consistent across three adjacent slices.
With lower vibration frequency of 50Hz, the half wavelength of shear wave
was not able to be accurately measured within the field-of-view (FOV) (Fig. 3b), while the prolongated
wavelengths could be visualized in the wave maps (Fig. 3a).Discussion and Conclusions
MRE is a key protocol in MR abdominal scans,
especially for chronic liver disease. In this preliminary study, we demonstrate the
feasibility of MRE based on phantom experiments at 0.055 Tesla. Wave
propagation can be clearly visualized in the wave maps despite low SNR, while further in vivo demonstration is required, especially for the liver MRE at ULF.Acknowledgements
This
work was supported in part by Hong Kong Research Grant Council (R7003-19F,
HKU17112120, HKU17127121 and HKU17127022 to E.X.W., and HKU17103819,
HKU17104020 and HKU17127021 to A.T.L.L.), Lam Woo Foundation, and Guangdong Key
Technologies for AD Diagnostic and Treatment of Brain (2018B030336001) to
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