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Visualization of carotid vessel wall and atherosclerotic plaque: T1-SPACE vs. compressed sensing T1-SPACE

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Abstract

Objectives

To compare visualization of carotid plaques and vessel walls between 3D T1-fast spin echo imaging with conventional SPACE (T1-SPACE) and with a prototype compressed sensing T1-SPACE (CS-T1-SPACE)

Methods

This retrospective study was approved by the institutional review board. Participants comprised 43 patients (36 males, 7 females; mean age, 71 years) who underwent carotid MRI including T1-SPACE and CS-T1-SPACE. The quality of visualization for carotid plaques and vessel walls was evaluated using a 5-point scale, and signal intensity ratios (SRs) of the carotid plaques were measured and normalized to the adjacent sternomastoid muscle. Scores for the quality of visualization were compared between T1-SPACE and CS-T1-SPACE using the Wilcoxon signed-rank test. Statistical differences between SRs of plaques with T1-SPACE and CS-T1-SPACE were also evaluated using the Wilcoxon signed-rank test, and Spearman’s correlation coefficient was calculated to investigate correlations.

Results

Visualization scores were significantly higher for CS-T1-SPACE than for T1-SPACE when evaluating carotid plaques (p = 0.0212) and vessel walls (p < 0.001). The SR of plaques did not differ significantly between T1-SPACE and CS-T1-SPACE (p = 0.5971). Spearman’s correlation coefficient was significant (0.884; p < 0.0001).

Conclusions

CS-T1-SPACE allowed better visualization scores and sharpness compared with T1-SPACE in evaluating carotid plaques and vessel walls, with a 2.5-fold accelerated scan time with comparable image quality. CS-T1-SPACE appears promising as a method for investigating carotid vessel walls, offering better image quality with a shorter acquisition time.

Key Points

• CS-T1-SPACE allowed better visualization compared with T1-SPACE in evaluating carotid plaques and vessel walls, with a 2.5-fold accelerated scan time with comparable image quality.

• CS-T1-SPACE offers a promising method for investigating carotid vessel walls due to the better image quality with shorter acquisition time.

• Physiological movements such as swallowing, arterial pulsations, and breathing induce motion artifacts in vessel wall imaging, and a shorter acquisition time can reduce artifacts from physiological movements.

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Abbreviations

CS:

Compressed sensing

FSE:

Fast spin echo

g-factor:

Geometry factor

ICA:

Internal carotid artery

mFISTA:

Modified fast iterative shrinkage-thresholding algorithm

PI:

Parallel imaging

SR:

Signal intensity ratio

T1-SPACE:

T1-fast spin echo imaging with conventional SPACE

VWI:

Vessel wall imaging

References

  1. Feigin VL, Forouzanfar MH, Krishnamurthi R et al (2014) Global and regional burden of stroke during 1990-2010: findings from the Global Burden of Disease Study 2010. Lancet 383:245–254

    Article  PubMed  PubMed Central  Google Scholar 

  2. Altaf N, MacSweeney ST, Gladman J, Auer DP (2007) Carotid intraplaque hemorrhage predicts recurrent symptoms in patients with high-grade carotid stenosis. Stroke 38:1633–1635

    Article  PubMed  Google Scholar 

  3. Wityk RJ, Lehman D, Klag M, Coresh J, Ahn H, Litt B (1996) Race and sex differences in the distribution of cerebral atherosclerosis. Stroke 27:1974–1980

    Article  CAS  PubMed  Google Scholar 

  4. Vermeer SE, Den Heijer T, Koudstaal PJ et al (2003) Incidence and risk factors of silent brain infarcts in the population-based Rotterdam Scan Study. Stroke 34:392–396

    Article  PubMed  Google Scholar 

  5. Sun J, Zhao XQ, Balu N et al (2017) Carotid plaque lipid content and fibrous cap status predict systemic CV outcomes: the MRI substudy in AIM-HIGH. JACC Cardiovasc Imaging 10:241–249

    Article  PubMed  PubMed Central  Google Scholar 

  6. Zhao XQ, Hatsukami TS, Hippe DS et al (2014) Clinical factors associated with high-risk carotid plaque features as assessed by magnetic resonance imaging in patients with established vascular disease (from the AIM-HIGH Study). Am J Cardiol 114:1412–1419

    Article  PubMed  PubMed Central  Google Scholar 

  7. Narumi S, Sasaki M, Natori T et al (2015) Carotid plaque characterization using 3D T1-weighted MR imaging with histopathologic validation: a comparison with 2D technique. AJNR Am J Neuroradiol 36:751–756

    Article  CAS  PubMed  Google Scholar 

  8. Zhang L, Zhang N, Wu J et al (2015) High resolution three dimensional intracranial arterial wall imaging at 3 T using T1 weighted SPACE. Magn Reson Imaging 33:1026–1034

    Article  Google Scholar 

  9. Boussel L, Herigault G, de la Vega A, Nonent M, Douek PC, Serfaty JM (2006) Swallowing, arterial pulsation, and breathing induce motion artifacts in carotid artery MRI. J Magn Reson Imaging 23:413–415

    Article  PubMed  Google Scholar 

  10. Yamamoto T, Fujimoto K, Okada T et al (2016) Time-of-flight magnetic resonance angiography with sparse undersampling and iterative reconstruction: comparison with conventional parallel imaging for accelerated imaging. Invest Radiol 51:372–378

    Article  PubMed  Google Scholar 

  11. Fushimi Y, Fujimoto K, Okada T et al (2016) Compressed sensing 3-dimensional time-of-flight magnetic resonance angiography for cerebral aneurysms: optimization and evaluation. Invest Radiol 51:228–235

    Article  PubMed  Google Scholar 

  12. Stalder AF, Schmidt M, Quick HH et al (2015) Highly undersampled contrast-enhanced MRA with iterative reconstruction: integration in a clinical setting. Magn Reson Med 74:1652–1660

    Article  CAS  PubMed  Google Scholar 

  13. Rossi Espagnet MC, Bangiyev L, Haber M et al (2015) High-resolution DCE-MRI of the pituitary gland using radial k-space acquisition with compressed sensing reconstruction. AJNR Am J Neuroradiol 36:1444–1449

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Fritz J, Raithel E, Thawait GK, Gilson W, Papp DF (2016) Six-fold acceleration of high-spatial resolution 3D SPACE MRI of the knee through incoherent k-space undersampling and iterative reconstruction—first experience. Invest Radiol 51:400–409

    Article  Google Scholar 

  15. Altahawi FF, Blount KJ, Morley NP, Raithel E, Omar IM (2017) Comparing an accelerated 3D fast spin-echo sequence (CS-SPACE) for knee 3-T magnetic resonance imaging with traditional 3D fast spin-echo (SPACE) and routine 2D sequences. Skeletal Radiol 46:7–15

    Article  PubMed  Google Scholar 

  16. Lustig M, Donoho D, Pauly JM (2007) Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 58:1182–1195

    Article  Google Scholar 

  17. Yuan J, Usman A, Reid SA et al (2017) Three-dimensional black-blood T2 mapping with compressed sensing and data-driven parallel imaging in the carotid artery. Magn Reson Imaging 37:62–69

    Article  PubMed  Google Scholar 

  18. Yuan J, Usman A, Reid SA et al (2017) Three-dimensional black-blood multi-contrast carotid imaging using compressed sensing: a repeatability study. MAGMA. https://doi.org/10.1007/s10334-017-0640-1

  19. Li B, Li H, Kong H, Dong L, Zhang J, Fang J (2017) Compressed sensing based simultaneous black- and gray-blood carotid vessel wall MR imaging. Magn Reson Imaging 38:214–223

    Article  PubMed  Google Scholar 

  20. Makhijani MK, Balu N, Yamada K, Yuan C, Nayak KS (2012) Accelerated 3D MERGE carotid imaging using compressed sensing with a hidden Markov tree model. J Magn Reson Imaging 36:1194–1202

    Article  PubMed  PubMed Central  Google Scholar 

  21. Li G, Zaitsev M, Büchert M et al (2015) Improving the robustness of 3D turbo spin echo imaging to involuntary motion. MAGMA 28:329–345

    Article  PubMed  Google Scholar 

  22. Pruessmann KP, Weiger M, Börnert P, Boesiger P (2001) Advances in sensitivity encoding with arbitrary k-space trajectories. Magn Reson Med 46:638–651

    Article  CAS  PubMed  Google Scholar 

  23. Liang D, Liu B, Wang J, Ying L (2009) Accelerating SENSE using compressed sensing. Magn Reson Med 62:1574–1584

    Article  PubMed  Google Scholar 

  24. Boubertakh R, Prieto C, Batchelor PG et al (2009) Whole-heart imaging using undersampled radial phase encoding (RPE) and iterative sensitivity encoding (SENSE) reconstruction. Magn Reson Med 62:1331–1337

    Article  CAS  PubMed  Google Scholar 

  25. Kramer JH, Arnoldi E, François CJ et al (2013) Dynamic and static magnetic resonance angiography of the supra-aortic vessels at 3.0 T: intraindividual comparison of gadobutrol, gadobenate dimeglumine, and gadoterate meglumine at equimolar dose. Invest Radiol 48:121–128

    Article  CAS  PubMed  Google Scholar 

  26. Griswold MA, Jakob PM, Heidemann RM et al (2002) Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med 47:1202–1210

    Article  PubMed  Google Scholar 

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Acknowledgements

We are grateful to Mr. Katsutoshi Murata and Mr. Yuta Urushibata, Siemens Healthcare Japan K. K., for protocol optimization.

Funding

This study has received funding by Grant-in-Aid for Scientific Research on Innovative Areas “Initiative for High-Dimensional Data-Driven Science through Deepening of Sparse Modeling,” Ministry of Education, Culture, Sports, Science and Technology (MEXT) grant numbers 25120002 and 25120008, and supported by The Kyoto University Foundation and JSPS KAKENHI Grant Number 18K07711.

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Authors

Corresponding author

Correspondence to Yasutaka Fushimi.

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Guarantor

The scientific guarantor of this publication is Professor Kaori Togashi, MD, PhD.

Conflict of interest

The authors declare that they have no conflict of interest.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• Retrospective

• Cross-sectional study

• Performed at one institution

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Okuchi, S., Fushimi, Y., Okada, T. et al. Visualization of carotid vessel wall and atherosclerotic plaque: T1-SPACE vs. compressed sensing T1-SPACE. Eur Radiol 29, 4114–4122 (2019). https://doi.org/10.1007/s00330-018-5862-8

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  • DOI: https://doi.org/10.1007/s00330-018-5862-8

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