Hui Wang1,2,3, Amol Pednekar2,3, Jean A. Tkach2,3, Charles L. Dumoulin2,3, Kaley R. Bridgewater2, Andrew T. Trout2,3, and Jonathan R. Dillman2,3
1Philips, Cincinnati, OH, United States, 2Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 3Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
Synopsis
We describe a 3D fast field
echo (FFE) Magnetic Resonance Elastography (MRE) pulse sequence for measurement
of liver stiffness in a single breath hold. The key features of the sequence
include: 1) 3D acquisition; 2) mechanical wave magnitude labelling of 1.5
cycles of motion for each RF excitation; 3) flow saturation pre-pulses to
suppress vascular flow; and 4) pseudorandom undersampling of k-space with Compressed
SENSE reconstruction. The technique was validated in two gel phantoms with
different stiffness and used to measure liver stiffness in five volunteers.
Introduction
MR Elastography (MRE) allows the
noninvasive measurement of liver stiffness which correlates with
histopathologic grading of fibrosis1-3. Two-dimensional (2D) fast
field echo (FFE) MRE with multiple breath holding (BH) is the most common
approach. We have implemented a new fast MRE pulse sequence that uses modified motion
encoding gradients (MEGs) to allow a shorter TR while maintaining
synchronization with the mechanical wave in combination with spatial pre-saturation
pulses and SENSE reconstruction4. In this work, we extend the
sequence to a 3D volume acquisition and apply pseudorandom undersampling of
k-space with compressed SENSE (CS) reconstruction to reduce acquisition time of
the full imagine volume to a single BH. Validation of the 3D FFE MRE sequence
was accomplished through comparison to the conventional 2D FFE MRE technique in
two gel phantoms with different stiffness and in five volunteers.Methods
The conventional 2D FFE MRE sequence was implemented
through the modification of a standard phase-contrast sequence to include a MEG
along the slice-select direction. For liver MRE, a mechanical wave frequency of
60 Hz is typically used with saturation pre-pulses applied independently every
RF excitation. Each phase-contrast phase-encoding (PCPE) step is acquired
within 6 acoustic cycles (100 ms), with reversal of the MEG polarity each TR. The
proposed fast 3D MRE sequence diagram is shown in Figure 1. To suppress inflow
artifacts, two parallel regional saturation (REST) pre-pulses5 are
applied independently and are interleaved with data acquisition. The REST
pre-pulse has a duration of one motion cycle (16.67 ms) to maintain motion
synchronization.
Two strategies are used to shorten the BH time: 1) Compact sequence design4,6, with
one PCPE step acquired every 3 acoustic cycles with MEG polarity remaining fixed
in one direction. To synchronize the MEGs with the mechanical motion wave, each
trigger of the mechanical driver occurs every 4th TR and sends 7
cycles of external motion. 2) Pseudorandom undersampling of k-space with CS
reconstruction. The acquisition parameters for conventional 2D MRE and
proposed fast 3D MRE sequences were TE = 20ms, FOV = 300 x 300, reconstruction
matrix = 256 x 256, motion frequency = 60Hz, time offsets number = 4, slice thickness
= 10mm. For the conventional 2D MRE sequence, SENSE = 2, FA = 25 degrees, and number
of slices = 4. For the fast 3D MRE sequence, CS acceleration factor = 5, FA = 20
degrees, and number of slices = 5.
All imaging was performed on
a Philips Ingenia 1.5T scanner (Best, The Netherlands). Two cylindrical
gel phantoms with different stiffness (Resoundant, Inc., MN, USA) were scanned
with a 15-channel head coil. Five volunteer subjects (mean
age 42 ± 12 years, 4 M/1F) were recruited under an institutional review board
approved protocol. Liver MRE was performed using a 28-channel anterior/posterior
torso coil array. MR elastograms were generated using a multimodal direct
inversion (MMDI) algorithm (Mayo Clinic, Rochester, MN) from which stiffness
measurements were made on all slices,
and the region of interest (ROI) weighted average of the mean stiffness value
(kPa) measured for each slice was recorded. Bland-Altman analysis was used to
assess the mean bias between two techniques and 95% limits of agreement, using conventional
2D MRE as the reference. All image
reconstruction and stiffness map computations were performed in real time on
the scanner console. Results
The mean and standard
deviation of stiffness for two phantoms were 3.09 ± 0.07 kPa, 5.89 ± 0.20 kPa
with conventional 2D MRE sequence and 3.08 ± 0.19 kPa, 5.70 ± 0.48 kPa with the
proposed fast 3D MRE sequence, respectively.
The mean and standard deviation
of liver stiffness was 1.95 ± 0.28 kPa with conventional 2D MRE sequence and
1.93 ± 0.30 kPa with the proposed fast 3D MRE sequence with interleaved flow
saturation. Mean and standard deviation of stiffness for each volunteer were
2.38 ± 0.32, 1.70 ± 0.28, 1.57 ± 0.25, 2.02 ± 0.26, 2.10 ± 0.29 kPa for the conventional
2D MRE sequence, and 2.28 ± 0.37, 1.61 ± 0.28, 1.67 ± 0.29, 1.98 ± 0.30, 2.11 ±
0.27 kPa for the fast 3D MRE sequence with interleaved flow saturation (Figure
2). Mean bias between the two MRE techniques was 0 kPa (95% limits of
agreement: -0.1 to 0.2 kPa) by Bland-Altman analysis (Figure 3). The ROI sizes from
the conventional 2D MRE were larger than the fast 3D MRE with interleaved flow
saturation sequence (2248 ± 564 mm2 vs 1633 ± 436mm2) (Figure
4).
For volunteer scans, BH time
was 13.3 seconds per slice for conventional 2D MRE (4 BHs to cover 4 slices)
and 15.6 seconds for fast 3D MRE with interleaved flow saturation (1 BH to
cover 5 slices).Conclusion
In this feasibility study, stiffness maps obtained in phantoms and five
asymptomatic volunteers using the proposed fast 3D MRE sequence were comparable
to conventional 2D MRE sequence. The proposed sequence reduced the standard liver
MRE exam time from 4 BHs to 1 BH, by combining compact pulse sequence design
with pseudorandom undersampling of k-space with CS reconstruction while
maintaining pulsatile flow artifact suppression. Fast 3D MRE has the potential
to shorten the MRE exam time or to provide greater spatial coverage. Acknowledgements
No acknowledgement found.References
[1] Yin et.al, Radiology
2016, 278(1):114-24. [2] Xanthakos et. al, J Pediatr 2014,
164(1):186-8. [3] Serai et. al, Abdom
Imaging 2015, 40(4): 789-94. [4] Wang et.al, ISMRM2019, #1741. [5] Felmlee et.al, Radiology 1987,
164:559-564. [6] Chamarthi et. al. MRI 2014, 32(6), 679-683.