Johannes Strasser1, Martin Soellradl1, Christian Enzinger1, and Stefan Ropele1
1Department of Neurology, Medical University of Graz, Graz, Austria
Synopsis
In
MR elastography, the propagation of three-dimensional wave motion is acquired
to assess mechanical tissue properties. We here propose an accelerated approach
of the multiphase DENSE-MRE acquisition scheme which additionally includes three-dimensional
motion encoding besides the multiple phase offsets within one TR. In addition
to phantom experiments, this multi-axes encoding concept was also investigated
in the human brain in vivo. The gathered wave images and shear modulus maps are
confirmed by three consecutive single-axes multiphase DENSE-MRE acquisitions
for x-, y- and z-motion encoding direction. With this concept, the acquisition
can be accelerated up to a factor of 3.
Introduction
In
MR elastography, the propagation of three-dimensional wave motion is acquired
to assess mechanical tissue properties.1,2 We recently presented a multiphase DENSE-MRE acquisition approach
which uses stimulated echo motion encoding together with multiple phase offset
sampling within each TR for reducing echo times especially at low vibration
frequencies and for reducing total acquisition time.3 Though, all phase offsets are acquired within
each TR, three sequence repetitions have to be performed to gather wave motion
information along all three axes x, y and z.Purpose
We here
propose an acceleration of the multiphase DENSE-MRE concept, which includes
encoding of all three orthogonal motion directions simultaneously within each
TR which allows to further reduce acquisition time.Methods
In
multiphase DENSE-MRE, the motion encoding gradient consists of two monopolar
gradients G1 and G2. Whereas G1 prepares the magnetization, G2 encodes the
motion at the desired sampling points of the wave in a series of readout blocks
during each TR. In the new multi-axes concept, the preparation is performed
simultaneously in three dimensions with G1s on all three gradient axes. The set
of readout blocks is divided into three subsets for encoding x-, y- and
z-motion. In each subset, the timings of the G2s are adapted. For one axis, the
G2s sample the wave at equidistant time points over the wave period like in
multiphase DENSE-MRE. However on the remaining two axes, G2 every time captures
the same sampling point of the wave, resulting in a constant background phase
in the subset of images which can be eliminated during post-processing. Figure
1 illustrates this acquisition method schematically.
This
multi-axes concept was investigated in an agar phantom with two stiff
inclusions (bar and cylinder) and in the brain of a healthy volunteer and
compared to consecutive single-axes multiphase DENSE-MRE acquisitions. MRE experiments
were performed on a 3T MRI scanner (Magnetom Prisma, Siemens, Erlangen,
Germany) using a head cradle driven by a piezoelectric actuator. Geometric
parameters for all sequences were FOV=300²mm², Matrix=128², slice thickness=4mm.
Sequence parameters for the phantom study: 9 slices, TR=2520ms, readout-TE=11.8ms,
50Hz driving frequency; multi-axes: 12 mixing times between 8-230.5ms (4 phase
offsets, 3 directions), TA=2min31s; single-axes: 4 mixing times between 8-53ms (4
phase offsets, 1 direction), TA=2min31s*3 (x-, y-, z-encoding). Sequence
parameters for the in-vivo study: 5 slices, 20Hz driving frequency; multi-axes:
TR=3250ms, readout-TE=23.0ms, 12 mixing times between 8-564.25ms (4 phase
offsets, 3 directions), TA=3min15s; single-axes: TR=2500ms, readout-TE=3.8ms, 4
mixing times between 8-45.5ms (4 phase offsets, 1 direction), TA=2min30s*3 (x-,
y-, z-encoding). Constant background phase was eliminated for each image subset
in the first step of post-processing by mean value subtraction. Furthermore, butterworth
filtering was applied prior to inversion. For the phantom a band-pass (cutoff=20-100
m-1) was used for the multi-axes and single-axes data to reduce low
frequency waves and noise. In the brain only the multi-axis data was low-pass
(cutoff=50m-1) filtered to reduce noise. A multifrequency dual
elasto visco (MDEV) inversion algorithm was used to obtain maps of the
magnitude |G*| and phase φ of the complex shear modulus G*.4Results
The
phantom images (Fig. 2) gathered with the proposed method clearly depict the
wave patterns for all motion components and allowed inversion to G* maps.
Comparable wave patterns and G* maps were obtained by consecutive single-axes
acquisitions. G* calculation resulted in a global mean across all slices of
|G*|=1.66kPa, φ=0.42° and |G*|=1.64kPa, φ=0.42° for the multi-axes and the single-axes
acquisitions, respectively. In the brain (Fig. 3) also clear wave images and G*
maps could be achieved by the multi-axes acquisition and confirmed by the
single-axes investigation. Mean values in the brain across all slices were
|G*|=0.69kPa, φ=0.66° and |G*|=0.73kPa, φ=0.83° for the multi-axes and the single-axes
acquisitions, respectively.Discussion and conclusion
With the proposed multi-axes modification of the
multiphase DENSE-MRE, wave images for all three-dimensional motion components could
be acquired which allowed shear modulus estimation in the phantom and brain. Comparable
results between the multi-axes and single-axes acquisitions confirmed the
approach. Due to the higher number of readout blocks in the multi-axes scheme
and prolonged readout-TE to allow G2 shifts between the axes, the SNR of the
images is lower than in the single-axes acquisitions. Since the driving
frequency in the phantom experiment was higher, the prolonged readout-TE had
less influence than in the brain investigation with the lower frequency.
However, this could be tackled by additional low-pass filtering prior to the
inversion. In return, by acquiring all motion encoding directions
simultaneously, the total acquisition time can be decreased by up to a factor
of 3 which compensates for the SNR loss.Acknowledgements
References
1. Mariappan YK,
Glaser KJ, Ehman RL. Magnetic resonance elastography: A review. Clin. Anat.
2010;23:497–511. doi: 10.1002/ca.21006.
2. Hiscox L V,
Johnson CL, Barnhill E, McGarry MDJ, Huston J, van Beek EJR, Starr JM, Roberts
N. Magnetic resonance elastography (MRE) of the human brain: technique,
findings and clinical applications. Phys. Med. Biol. 2016;61:R401–R437. doi:
10.1088/0031-9155/61/24/R401.
3. Strasser J,
Haindl MT, Stollberger R, Fazekas F, Ropele S. Magnetic resonance elastography
of the human brain using a multiphase DENSE acquisition. Magn. Reson. Med.
2019;81:3578–3587. doi: 10.1002/mrm.27672.
4. Streitberger KJ, Reiss-Zimmermann M, Freimann FB, Bayerl
S, Guo J, Arlt F, Wuerfel J, Braun J, Hoffmann KT, Sack I. High-resolution
mechanical imaging of glioblastoma by multifrequency magnetic resonance
elastography. PLoS One 2014;9. doi: 10.1371/journal.pone.0110588.