Hassan Haji-valizadeh1, Nivedita K. Naresh2, Jeremy D. Collins2, Joshua D. Robinson3,4, Pascale J. Aouad2, Ali M. Serhal2, James C. Carr2, Cynthia K. Rigsby4,5, and Daniel Kim2
1Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Radiology, Northwestern University, Chicago, IL, United States, 3Division of Pediatric Cardiology, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States, 4Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States, 5Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States
Synopsis
We sought to highly accelerate high resolution (1.5 mm x 1.5 mm x 1.5 mm) non-contrast thoracic MRA using a combination
of compressed sensing, stack-of-stars k-space sampling with variable
density, and self-navigation , and we compared its performance against clinical contrast-enhanced MRA in
patients with suspected aortic disease.
Introduction
Thoracic aortic aneurysms (TAAs), while rare, are life-threatening
conditions which require routine1 monitoring with imaging to
determine when surgical correction is needed (e.g., aortic diameter >5 cm in
adults2) Contrast-enhanced
magnetic resonance angiography (CE-MRA) is routinely used for evaluation of
aortic disease, but requires gadolinium-based contrast agent (GBCA). The reliance
on GBCA for CE-MRA is troubling given the recent evidence of GBCA deposits in
the brain after repeated exposure3. A previous study has reported
the clinical utility of non-contrast thoracic MRA (NC-MRA) using a navigator-gated,
balanced steady-state free precession (b-SSFP) pulse sequence with a spatial
resolution of 1.5 mm x1.5 mm x 3 mm and a scan time on the order of 6-10 min4.
For clinical translation, it may be necessary to increase the slice resolution
and reduce the scan time. In this study, we sought to highly accelerate NC-MRA
using a combination of compressed sensing (CS), stack-of-stars k-space sampling
with variable density, and self-navigation of respiratory motion5 to
increase the spatial resolution (from 3 to 1.5 mm slice thickness) and reduce the
scan time (from ~8 to 5 min), and compare its performance against clinical
CE-MRA in patients with suspected aortic disease.Method
(Patients) We
scanned 6 patients (4 males, age= 58 ± 5.7 years) who were undergoing a
clinical MRA with standard dose of GBCA on a 1.5T scanner (Siemens, Avanto),
where NC-MRA was performed prior to administration of GBCA. (Pulse Sequence) We modified a 3D b-SSFP pulse sequence to employ
a stack-of-star sampling pattern with variable density that oversampled the
central partitions of k-space, as previously described6 , and one
ray per heart-beat was oriented along the head-to-foot direction to track the respiratory
motion, as previously described5. As shown in figure 1, we explored
two different k-space ordering along kz: (a) linear and (b) “centric” out. We
elected to use a kz ordering that produced better fat suppression in
preliminary experiments (Figure 1C). NC-MRA utilized a T2 preparation time = 50
ms, fat saturation, α/2 preparation pulse, and 28,000 rays to reconstruct 6
respiratory phases (Figure 2). The performance of NC-MRA was compared with
clinical steady-state CE-MRA7, which was performed following GBCA administration ranging from 0.15 – 0.20
mmol/kg and inversion recovery time (TI) = 260 ms and b-SFFP readout with
navigator gating. Relevant imaging parameters for both NC-MRA and CE-MRA are
described in table 1. (Image
Reconstruction) The CS8 reconstruction was performed off-line on a
workstation equipped with MATLAB (R2014a, The MathWorks). After nonuniform fast Fourier transform9
and self-calibration of coil sensitivity maps10, a CS reconstruction
using 60 iterations was performed with total variation along the respiratory motion
and slice dimensions with normalized weight of α=0.00075 and β=0.00015, respectively, and normalized
fidelity weight of 0.006(Figure 2)11. (Image Quality) One radiologist and one cardiologist visually graded
the scores on a 5-point scale (1: worst; 3: clinically acceptable; 5: best) for
3 categories: conspicuity of lumen wall, artifact, and noise. The mean reader
scores were compared using the Wilcoxon signed-rank test, where p<0.05 was
considered significant. (Vessel
Diameters) Another reader measured the vessel diameters at nine standard
locations12. The vessel diameters were compared using a two tailed paired
t-test and the Bland-Altman (BA) and linear regression analyses. Results
The mean scan time for clinical CE-MRA and NC-MRA was
5:54 ± 2:37 and 5:47 ± 0:48 min, respectively. Figure 3 shows representative
reformatted maximum-intensity-projection (MIP)s of two patients where in one
patient an aneurysm is clearly depicted in both CE-MRA and NC-MRA. Averaging
the results over 6 patients, the conspicuity (4.7 ± 0.5 for CE-MRA; 4.6 ± 0.4
for NC-MRA), artifact (3.9 ± 0.5 for CE-MRA; 3.9 ± 0.6 for NC-MRA), and noise (4.6
± 0.5 for CE-MRA; 4.2 ± 0.5 for NC-MRA) scores were not significantly different
(p>0.05), and all three scores were greater than 3.0 (clinically acceptable).
In addition, the vessel diameters were not significantly different (p>0.05) between
MRAs. Figure 4 shows the scatter plots resulting from the Bland-Altman and
linear regression analyses, indicating that the vessel diameters are strongly
correlated and in good agreement. Conclusion
This study describes development and evaluation a 3D
NC-MRA pulse sequence using a combination of stack-of-star k-space sampling,
self-navigation of respiratory motion, and CS. In six patients, the proposed
NC-MRA produced reader scores and aortic diameters that were not significantly
different from those produced by CE-MRA. Future studies in a larger patient
cohort are warranted to further evaluate the clinical utility. Acknowledgements
NIH grant: R01HL116895, R01HL138578, R21EB024315, R21AG055954References
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