Minkook Seo1, Jimin Yoon1, Yangsean Choi1, Jinhee Jang1, Na-Young Shin1, Kook-Jin Ahn1, and Bum-soo Kim1
1Radiology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of
Synopsis
The image qualities of two high-resolution MRI
sequences of the neck—CAIPIRINHA-VIBE and GRASP-VIBE—were compared. 173 patients
clinically indicated for neck MRI were scanned using both sequences with
isotropic (<1 mm) in-plane resolution. The image quality was qualitatively
assessed by two radiologists. Quantitative assessments (i.e., non-uniformity,
contrast-to-noise ratio and signal-to-noise ratio) were performed in all
patients, a phantom and a healthy volunteer. GRASP-VIBE outperformed CAIPIRINHA-VIBE
in all qualitative assessments except for the fat suppression degree. Quantitative
assessments were significantly superior in GRASP-VIBE than in CAIPIRINHA-VIBE. Therefore,
GRASP-VIBE may be a better alternative to CAIPIRINHA-VIBE for head and neck MRI.
Introduction
Head and neck is one of the most challenging regions
for MRI; due to abundant physiologic motions in the neck, fast acquisition
techniques or special motion-insensitive protocols are needed to avoid severe image
degradation.1,2 Also, high signal-to-noise ratio (SNR) is another
crucial factor for sufficient image quality in fat-suppressed high-resolution
neck MRI.3
Recently, a novel MRI technique known as Golden-angle
Radial Sparse Parallel imaging (GRASP) has been introduced for rapid
free-breathing MR acquisitions.4,5
GRASP allows synergistic combination of
compressed sensing, parallel imaging, and a gold-angle radial sampling scheme, providing
iterative reconstruction for motion-insensitive images with variable temporal
resolutions under free-breathing situation. Suggested shortcomings of GRASP are
long post-processing time and streak artifacts especially seen in radial
sequences.6
The purpose of current study was to
qualitatively and quantitatively compare the image qualities of two
high-resolution 3D MRI sequences of the neck—Controlled Aliasing in Parallel Imaging Results in Higher Acceleration-volumetric
interpolated breath-hold examination (CAIPIRINHA-VIBE) and GRASP-VIBE.Methods
173
patients indicated for contrast-enhanced neck MRI were scanned using 3T scanners
(Siemens Magnetom Vida). All patients were scanned using both sequences with nearly
isotropic 3D acquisitions (<1 mm in-plane resolution) and analogous
acquisition times (approximately 4 minutes). The GRASP-VIBE sequence was a
prototype WIP (working in progress) sequence designed by Siemens Healthcare. The
acquisition parameters of CAIPIRINHA-VIBE and GRASP-VIBE are summarized in Fig.
1.
Patients’
MRI were independently rated by two radiologists using 5-grade Likert scale for
overall image quality, overall artifact level, mucosal conspicuity, and fat
suppression degree at nasopharyngeal, oropharyngeal and hypopharyngeal levels. Interobserver
agreement was calculated using Cohen’s kappa. The quality ratings of both
sequences were compared using Mann-Whitney U test.
Non-uniformity
(NU) and contrast-to-noise ratio (CNR) were measured in all patients. Separate
MRI scans were performed twice for each sequence in a phantom and a healthy volunteer
without contrast injection to calculate SNR. Each value was calculated using
following formulae:
$$NU={SD_{WM} \over SI_{WM}} ×100$$
$$CNR={SI_{WM}-SI_m \over SD_{air}}$$
$$SNR={mean(SI_1+SI_2)|_{ROI1} \over \sqrt{2}·SD(SI_1-SI_2)|_{ROI2}}$$
Here, WM refers to
the white matter of the measured level, which is medulla oblongata at
nasopharyngeal and oropharyngeal levels, and spinal cord at hypopharyngeal
level. SIm indicates signal intensity (SI) of the muscle
as a reference tissue, and SDair indicates standard deviation (SD) of the region
of interest placed in the airway. SNR was calculated using the difference
method with dual acquisition, with SI referring to the average of two separate
scans and SD measured on the subtraction image.7–9
An example of NU and SNR measurement in the healthy volunteer is demonstrated
on Fig. 2.Results
The
quality ratings of patients’ MRI are summarized in Fig. 3. The scores of overall
image quality, overall artifact level, conspicuity of the nasopharyngeal and
hypopharyngeal mucosa were all significantly higher in GRASP-VIBE than in
CAIPIRINHA-VIBE (all P-values < 0.001).
Moderate interobserver agreement was observed in hypopharyngeal mucosal conspicuity
of CAIPIRINHA-VIBE (κ =
0.60), overall image quality of CAIPIRINHA-VIBE (κ = 0.59), and overall
image quality of GRASP-VIBE (κ = 0.43). The degree of fat suppression was
weaker especially in the lower neck regions in GRASP-VIBE (3.90±0.72) than in
CAIPIRINHA-VIBE (4.97±0.21) (P < 0.001).
The
results of quantitative assessment are shown in Fig. 4. The CNR at
hypopharyngeal level was significantly higher in GRASP-VIBE (6.28±4.77) than in
CAIPIRINHA-VIBE (3.14±9.95) (P < 0.001).
On the phantom study, the SNR of GRASP-VIBE was 12 times greater than that of
CAIPIRINHA-VIBE. In vivo SNR of the
volunteer MRI was 13.6 in CAIPIRINHA-VIBE and 20.7 in GRASP-VIBE.Discussion
GRASP-VIBE
demonstrated significantly superior image quality for mucosal assessment with
fair to moderate agreement between the two reviewers, whereas CAIPIRINHA-VIBE
showed more uniform fat suppression. This result is consistent with the
previous study, which reported better overall image quality and edge sharpness
in GRASP.10 Also
in line with most previous studies on free-breathing MRI, GRASP-VIBE showed
higher scores in overall artifact level than CAIPIRINHA-VIBE (Fig. 5).10–14 Since
GRASP and Dixon both require image post-processing, simultaneous use of both
techniques required excessive post-processing time for routine clinical
practice. Therefore, SPAIR (spectral adiabatic inversion recovery) was used in
GRASP-VIBE as an alternative to the ideal Dixon fat suppression technique. This
resulted in weaker fat suppression in GRASP-VIBE, compared to CAIPIRINHA-VIBE which
used Dixon technique, as demonstrated in previous studies.15,16
The
quantitative assessments—overall SNR, CNR and NU at hypopharyngeal level— were better
in GRASP-VIBE. The large difference in SNR between the two sequences might be
due to high acceleration factor of CAIPIRINHA-VIBE, which was implemented to
achieve motion-robustness. In vivo
SNR of the healthy volunteer scan was also 1.5 times higher in GRASP-VIBE, which
is concordant to the findings of previous studies.10,11,14 SI
and SD were measured in the deepest structures possible to overcome the
inhomogeneous noise distribution caused by parallel imaging, which would properly
reflect “practically perceptible” noise for clinical interpretation. Streak
artifacts at the hypopharyngeal level may have affected NU value on GRASP-VIBE
images, considering the two sequences showed less noticeable distinction of NU at the hypopharyngeal level than at the nasopharyngeal level.Conclusions
Both sequences rendered
excellent images for head and neck MRI. GRASP-VIBE provided better image
quality, mucosal conspicuities, SNR, and CNR whereas CAIPIRINHA-VIBE provided
better fat suppression in lower neck regions.Acknowledgements
The authors
greatly appreciate the technical support provided by a Siemens Healthineers MR
physicist, Hyun-Soo Lee. References
1. Ruytenberg T, Verbist BM,
Vonk-Van Oosten J, et al. Improvements in high resolution laryngeal magnetic
resonance imaging for preoperative transoral laser microsurgery and
radiotherapy considerations in early lesions. Front. Oncol.
2018;8(JUN):216.
2. Maroldi R, Ravanelli M, Farina D.
Magnetic resonance for laryngeal cancer. Curr. Opin. Otolaryngol. Head Neck
Surg. 2014;22(2):131–139. Available at:
https://journals.lww.com/co-otolaryngology/Fulltext/2014/04000/Magnetic_resonance_for_laryngeal_cancer.10.aspx.
Accessed October 26, 2021.
3. Junn JC, Soderlund KA, Glastonbury
CM. Imaging of Head and Neck Cancer With CT, MRI, and US. Semin. Nucl. Med.
2021;51(1):3–12.
4. Chandarana H, Feng L, Block TK, et
al. Free-breathing contrast-enhanced multiphase MRI of the liver using a
combination of compressed sensing, parallel imaging, and golden-angle radial
sampling. Invest. Radiol. 2013;48(1):10–16.
5. Feng L, Grimm R, Block KT, et al.
Golden-angle radial sparse parallel MRI: Combination of compressed sensing,
parallel imaging, and golden-angle radial sampling for fast and flexible
dynamic volumetric MRI. Magn. Reson. Med. 2014;72(3):707–717.
6. Block KT, Feng L, Grimm R, et al.
GRASP : Tackling the Challenges of Abdominopelvic DCE-MRI. MAGNETOM Flash.
2014;5:16–22. Available at: www.siemens.com/magnetom-world. Accessed October
26, 2021.
7. Dietrich O, Raya JG, Reeder SB, et
al. Measurement of signal-to-noise ratios in MR images: Influence of
multichannel coils, parallel imaging, and reconstruction filters. J. Magn. Reson.
Imaging. 2007;26(2):375–385. Available at:
https://onlinelibrary.wiley.com/doi/full/10.1002/jmri.20969. Accessed July 23,
2021.
8. Reeder SB, Wintersperger BJ, Dietrich
O, et al. Practical approaches to the evaluation of signal-to-noise ratio
performance with parallel imaging: Application with cardiac imaging and a
32-channel cardiac coil. Magn. Reson. Med. 2005;54(3):748–754.
9. Fruehwald-Pallamar J, Szomolanyi P,
Fakhrai N, et al. Parallel imaging of the cervical spine at 3T: Optimized
trade-off between speed and image quality. Am. J. Neuroradiol.
2012;33(10):1867–1874. Available at: http://dx.doi.org/10.3174/ajnr.A3101.
Accessed July 23, 2021.
10. Tomppert A, Wuest W, Wiesmueller M,
et al. Achieving high spatial and temporal resolution with perfusion MRI in the
head and neck region using golden-angle radial sampling. Eur. Radiol.
2020.
11. Seo N, Park SJ, Kim B, et al.
Feasibility of free-breathing dynamic contrast-enhanced MRI of the abdomen: A
comparison between CAIPIRINHAVIBE, Radial-VIBE with KWIC reconstruction and
conventional VIBE. Br. J. Radiol. 2016;89(1066):1–7.
12. Shin HJ, Kim MJ, Lee MJ, et al.
Comparison of image quality between conventional VIBE and radial VIBE in
free-breathing paediatric abdominal MRI. Clin. Radiol. 2016;71(10):1044–1049.
Available at: http://dx.doi.org/10.1016/j.crad.2016.03.018.
13. Chandarana H, Block TK, Rosenkrantz
AB, et al. Free-breathing radial 3D fat-suppressed T1-weighted gradient echo
sequence: A viable alternative for contrast-enhanced liver imaging in patients
unable to suspend respiration. Invest. Radiol. 2011;46(10):648–653.
Available at:
https://journals.lww.com/investigativeradiology/Fulltext/2011/10000/Free_Breathing_Radial_3D_Fat_Suppressed.7.aspx.
Accessed November 3, 2021.
14. Hur S-J, Choi Y, Yoon J, et al.
Intraindividual Comparison between the Contrast-Enhanced Golden-Angle Radial
Sparse Parallel Sequence and the Conventional Fat-Suppressed Contrast-Enhanced
T1-Weighted Spin-Echo Sequence for Head and Neck MRI. Am. J. Neuroradiol.
2021. Available at: http://dx.doi.org/10.3174/ajnr.A7285. Accessed October 20,
2021.
15. Gaddikeri S, Mossa-Basha M, Andre
JB, et al. Optimal Fat Suppression in Head and Neck MRI: Comparison of
Multipoint Dixon with 2 Different Fat-Suppression Techniques, Spectral
Presaturation and Inversion Recovery, and STIR. Am. J. Neuroradiol.
2018;39(2):362–368.
16. Yao G, Liang Z, Yang Y, et al.
Comparison of fat suppression effects between Dixon and SPAIR techniques in the
neck MRI. Chinese J. Radiol. 2020;54(7):707–712.