Robert R Edelman1,2, Jianing Pang3, and Ioannis Koktzoglou1,4
1Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 2Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Siemens Medical Solutions USA, Chicago, IL, United States, 4Pritzker School of Medicine, University of Chicago, Chicago, IL, United States
Synopsis
Quiescent-interval slice-selective (QISS)
MRA has become established as a simple “push button” nonenhanced alternative to
CTA and contrast-enhanced MRA. However, a
fundamental drawback of QISS as currently implemented is that it uses a 2D
acquisition strategy. The inability to acquire very thin slices along with the non-rectangular slice profile predisposes QISS to artifacts from partial volume averaging and blurring of multiplanar reconstructions. We therefore implemented and optimized a
novel thin-slab stack-of-stars QISS (tsSOS-QISS) technique to provide
near-isotropic high spatial resolution that rivals CTA, while maintaining the excellent
arterial conspicuity, motion insensitivity and breath-hold capability of 2D
QISS.
Introduction
Physicians rely primarily on CT
angiography (CTA) for the non-invasive evaluation of peripheral artery disease
(PAD) in the lower extremities prior to revascularization. For patients with severely impaired renal
function who cannot tolerate iodinated or gadolinium-based contrast agents,
non-contrast MRA techniques such as quiescent-interval slice-selective (QISS),
subtractive fast spin-echo, and velocity-selective 3D MRA provide potentially
useful imaging options.1 While QISS is
now commercially available and has demonstrated diagnostic accuracy that is
competitive with CTA2, it has several well-recognized drawbacks, the most
significant of which is the use of a 2D acquisition strategy. The typical QISS slice thickness of 2 to 3-mm
is substantially worse than the 1-mm slice thickness provided by peripheral
CTA, resulting in partial volume averaging.
Moreover, the slice profile is highly non-rectangular, resulting in loss
of detail on multiplanar reconstructions.
In order to overcome these
limitations, a prototype 3D thin-slab stack-of-stars QISS (tsSOS-QISS) technique was
recently described.3 As originally
implemented, the tsSOS-QISS technique was relatively inefficient with the
potential for flow-related saturation and venetian blind artifacts (VBA). In this study, we optimized the technique so
as to overcome these limitations and provide a robust alternative to existing
2D QISS implementations.Methods
We performed an IRB-approved,
prospective study on healthy volunteers and patients with PAD after obtaining
informed, written consent.
Scans were performed on a clinical 1.5T scanner
(MAGNETOM Avanto Dot, Siemens Healthcare, Erlangen, Germany). 2D QISS was typically
acquired using 10 contiguous stations with 40 3mm-thick slices per
station. For tsSOS-QISS of the
peripheral arteries, a series of thin overlapping 3D slabs were acquired using
a balanced steady-state free precession (bSSFP) readout, whereas a single slab
was used for breath-hold imaging of the renal arteries in conjunction with a
fast interrupted steady-state (FISS) readout.
3D partition thickness ranged from 0.65mm to 0.86mm with in-plane
resolution of 0.5mm (after interpolation).
For optimized versions of tsSOS-QISS,
the separate in-plane and venous saturation RF pulses used for 2D QISS were
supplanted by a single frequency offset corrected inversion (FOCI) RF pulse
that extended to the top of the imaging slab and inferiorly below the slab to
suppress venous signal.
Optimization
strategies further involved tailoring the RF excitation profile, optimizing the slice
oversampling factor and slab overlap, and applying partial Fourier along the
slice direction.Results
Optimal imaging parameters for tsSOS-QISS of the
peripheral arteries were determined to include: 18 partitions per slab, slab
thickness = 11.7mm for 0.65mm partition thickness vs. 15.5mm for 0.86mm
thickness, RF pulse duration = 1400us with
time-bandwidth product = 6.4, slice oversampling = 33.3%, slice partial Fourier
factor = 6/8, slab overlap = 28%. Using
these imaging parameters, both VBA and flow-related saturation artifact were
negligible. Overall scan time was
approximately twice as long for tsSOS-QISS using 0.86mm-thick 3D partitions
(1.72mm acquired) compared with 2D QISS using 3.0mm-thick slices for equivalent
scan regions.
tsSOS-QISS consistently improved image quality and signal-to-noise ratio compared with 2D QISS. Vessel wall sharpness and branch detail were
improved due to reduced partial volume averaging (Figure 1). Flow-related saturation artifact was minimal
or absent, even in patients with severe multifocal disease (Figure 2). Blurring in multiplanar reformats was greatly
reduced with the tsSOS-QISS approach due to a combination of near-isotropic
spatial resolution and rectangular profiles for the 3D partitions. For renal artery MRA, single breath-hold
tsSOS-QISS FISS image quality was comparable to much lengthier free-breathing
acquisitions (Figure 3). Discussion
After optimization, the tsSOS-QISS MRA technique provides a scan efficiency that approaches that of the existing 2D QISS technique, but
with greatly improved image quality. Unlike
2D QISS, tsSOS-QISS allows near-isotropic spatial resolution with rectangular
slice profiles that greatly improve the quality of multiplanar reformats and
more closely approximate the spatial resolution afforded by peripheral CTA. Conclusion
Using the tsSOS-QISS technique, a whole leg non-contrast 3D MRA can be
obtained in less than 20 minutes and can be supplemented by breath-hold evaluation
of the renal arteries. Image
quality is superior to 2D QISS, while the capability for near-isotropic high
spatial resolution, avoidance of contrast administration and ionizing radiation, and absence of artifacts from calcific plaque
may make it an attractive alternative to CTA, especially in patients at risk
for toxicity from iodinated contrast or with high prevalence of vascular
calcifications. Further clinical
evaluation appears warranted to determine the diagnostic accuracy and relative
utility compared with CTA.Acknowledgements
FUNDING SOURCES: NIH grants R01 HL137920 and R01 HL130093 We wish to acknowledge Nondas Leloudas for assisting with scanning and data collection.References
1. J Magn Reson Imaging. 2019; 49(2):355-373.
2. Clin Radiol. 2019; 74(1):29-36.
3. Magnetic Resonance in Medicine. 2019.
doi: 10.1002/mrm.28032.