Susanne Schnell1, Can Wu1, Pierre-Francois Van de Moortele2, Bharathidasan Jagadeesan3, Kâmil Uğurbil2, Michael Markl1, and Sebastian Schmitter2
1Radiology, Northwestern University, Chicago, IL, United States, 2Center for Magnetic Resonance in Research, University of Minnesota, Minneapolis, MN, United States, 3Neurosurgery Department, University of Minnesota, Minneapolis, MN, United States
Synopsis
Dual-venc 4D flow MRI was applied in 6
healthy volunteers at a 7T MRI scanner at two different approximately isotropic
spatial image resolutions, low resolution with (1.1mm)3 and high resolution with (0.8mm)3
voxel volumes. The aim of this study was to systematically investigate the
potential of high-resolution k-t
GRAPPA accelerated dual-venc 4D flow
MRI compared to the low-resolution scan with standard GRAPPA with respect
to improved image quality (vessel sharpness and depiction of small intracranial
vessels) and quantification of intracranial flow parameters (net flow, peak
velocity).Purpose
To investigate
whether high spatial resolution dual-
venc
4D flow MRI acquired with
k-t GRAPPA
acceleration yields improved image quality and flow quantification for evaluating
cerebral hemodynamics compared to a lower resolution scan with standard acceleration
(GRAPPA with R=2 along the phase encoding direction).
Methods
Dual-venc 4D flow MRI
was acquired at two different approximately isotropic spatial image
resolutions, low resolution with (1.1mm)3 and high resolution with
(0.8mm)3 voxel volumes, on a Siemens Magnetom 7T MRI scanner (SC72
gradients;16kW RF amplifier (Stolberg); 32RX/1TX head coil (Nova Medical)) in 6
healthy volunteers (mean age=29.3±13.5yrs,
age range=21-56yrs, 1 female). The standard resolution scan included GRAPPA
with acceleration R=2, while k-t
GRAPPA with R=5 was used for the high resolution scan with the same volume
coverage. Cardiac gating was performed with standard ECG or an acoustic cardiac
triggering system (MRItools GmbH, Berlin). Sequence parameters are summarized
in table 1. Both acquisitions covered the same 3D volume by adjusting the
amount of slices to achieve the same slab thickness.
All data sets were corrected for eddy current induced
phase offset errors and Maxwell terms (1). The unaliased high-venc data was used to correct the low-venc acquisition for velocity aliasing
resulting in a combined dual-venc
data set with intrinsically high dynamic velocity range as well as low velocity
noise (2). Phase-contrast angiograms (PC-MRA) were calculated from the velocity
and magnitude data and used to identify vessel boundaries and mask blood flow
velocities (figure 1). Vessel sharpness was evaluated by determining the thickness at the location of the left or right middle
cerebral arteries (lMCA, rMCA) in the axial PC-MRA maximum intensity projection
(MIP) images. Further analysis included regional flow quantification at
the left and right internal carotid arteries (lICA, rICA), lMCA, rMCA, left and
right anterior cerebral arteries (lACA, rACA), basilar artery (BA), left and
right posterior cerebral arteries (lPCA, rPCA) as well as the left and right
transverse sinuses (lTS, rTS), the straight sinus (SS) and superior sagittal
sinus (SagSin) (figure 2) to quantify net flow and peak velocity in commercial
software (EnSight, CEI).
Results
All dual-
venc 4D flow MRI data were successfully acquired in all subjects
with an average scan time of 21.4min (±2.9min)
for the low resolution scan. Scan time for the high resolution and
k-t GRAPPA accelerated scan was 16.4min
(±2.0min). Assessment
of vessel thickness in the PC-MRA images yielded smaller vessel diameters of
the MCA when measured with high spatial resolution than at low resolution (3.97±0.8mm vs 4.22±0.83mm, Wilcoxon signed
rank test, p = 0.03). The advantage of the high resolution scan can be clearly
appreciated in figures 1 and 2A and B for the depiction of small intracranial
vessels. Figure 1 gives an example of a velocity MIP masked with the PC-MRA for
both acquisitions. In figure 2 an axial PC-MRA MIP for the two image
resolutions is shown in panels A and B with the corresponding visualization of
blood flow using streamlines in panels C and D.
Spearman rank correlation analysis showed that
peak velocities correlated well between low and high resolution scan (peak
velocitylow_res = 0.61±0.35m/s vs 0.57±0.34m/s, R=0.81, P<0.001, figure 3). Net flow was also significantly correlated
but was systematically overestimated by the low resolution scan (net flow
low_res=2.94±1.74m/cycle vs net flow
high_res=2.69±1.48m/cycle, Wilkoxon rank test: p=0.01,
spearman correlation R=0.92, P<0.0001,
figure 4).
Discussion
The findings of this
feasibility study show that high spatially resolved
k-t GRAPPA accelerated dual-
venc
4D flow MRI provides the opportunity to resolve flow even in smaller vessels
due to its intrinsically decreased noise.
k-t
acceleration at 7T resulted in both reduced scan time and improved image
quality and the ability to quantify venous and arterial flow across a wide range of the velocity spectrum. The low
resolution data systematically overestimated net flow, which is expected due to
partial volume effects.
Conclusion
In conclusion,
dual-
venc 4D flow MRI acquisition applied at 7T allows for high spatial
resolution due to reduced velocity noise (high magnetic field plus lower venc
value) while covering a large dynamic range. This is expected to be highly
beneficial for quantification of hemodynamics in arteriovenous malformation or
aneurysms with typically large velocity ranges.
Acknowledgements
Work supported in
part by NIH grants P41 EB015894 and P30 NS076408.
References
1. Walker et
al. Semiautomated method for noise reduction and background phase error
correction in MR phase velocity data. J Magn Reson Imaging,
1993. 3(3): p. 521-30.
2. Schnell, C. Wu, J. Garcia, I. Murphy,
M. Markl. Intracranial k-t
Accelerated Dual-Venc 4D flow MRI. Proceedings ISMRM 2015, abstract 4543