Abstract
Objectives
The aim was to evaluate the image quality and sensitivity to artifacts of compressed sensing (CS) acceleration technique, applied to 3D or breath-hold sequences in different clinical applications from brain to knee.
Methods
CS with an acceleration from 30 to 60% and conventional MRI sequences were performed in 10 different applications in 107 patients, leading to 120 comparisons. Readers were blinded to the technique for quantitative (contrast-to-noise ratio or functional measurements for cardiac cine) and qualitative (image quality, artifacts, diagnostic findings, and preference) image analyses.
Results
No statistically significant difference in image quality or artifacts was found for each sequence except for the cardiac cine CS for one of both readers and for the wrist 3D proton density (PD)–weighted CS sequence which showed less motion artifacts due to the reduced acquisition time. The contrast-to-noise ratio was lower for the elbow CS sequence but not statistically different in all other applications. Diagnostic findings were similar between conventional and CS sequence for all the comparisons except for four cases where motion artifacts corrupted either the conventional or the CS sequence.
Conclusions
The evaluated CS sequences are ready to be used in clinical daily practice except for the elbow application which requires a lower acceleration. The CS factor should be tuned for each organ and sequence to obtain good image quality. It leads to 30% to 60% acceleration in the applications evaluated in this study which has a significant impact on clinical workflow.
Key Points
• Clinical implementation of compressed sensing (CS) reduced scan times of at least 30% with only minor penalty in image quality and no change in diagnostic findings.
• The CS acceleration factor has to be tuned separately for each organ and sequence to guarantee similar image quality than conventional acquisition.
• At least 30% and up to 60% acceleration is feasible in specific sequences in clinical routine.
Similar content being viewed by others
Abbreviations
- 3D :
-
Three-Dimensional
- BTFE:
-
Balanced turbo field echo
- Cine:
-
Cinematic sequence
- CNR:
-
Contrast-to-noise ratio
- CS :
-
Compressed sensing
- FFE :
-
Fast field echo
- FLAIR:
-
Fluid-attenuated inversion recovery
- FOV:
-
Field of view
- mDixon:
-
Multi-echo two-point Dixon
- MRCP:
-
Magnetic resonance cholangiopancreatography
- MSK :
-
Musculoskeletal
- PD:
-
Proton density
- SENSE :
-
Sensitivity encoding
- SPAIR:
-
Spectral attenuated inversion recovery
- TSE :
-
Turbo spin echo
- VISTA:
-
Volumetric isotropic T2w acquisition
References
Lustig M, Donoho DL, Santos JM, Pauly JM (2008) Compressed sensing MRI: a look at how CS can improve on current imaging techniques. IEEE Signal Process Mag 25:72–82
Lustig M, Donoho D, Pauly JM (2007) Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 58:1182–1195
Liang D, Liu B, Wang J, Ying L (2009) Accelerating SENSE using compressed sensing. Magn Reson Med 62:1574–1584
Hollingsworth KG (2015) Reducing acquisition time in clinical MRI by data undersampling and compressed sensing reconstruction. Phys Med Biol 60:R297–R322
Jaspan ON, Fleysher R, Lipton ML (2015) Compressed sensing MRI: a review of the clinical literature. Br J Radiol 88:1–12
Vranic JE, Cross NM, Wang Y, Hippe DS, de Weerdt E, Mossa-Basha M (2019) Compressed sensing – sensitivity encoding ( CS-SENSE ) accelerated brain imaging : reduced scan time without reduced image quality. AJNR Am J Neuroradiol 40(1):92–98
Suh CH, Jung SC, Lee HB, Cho SJ (2019) High-resolution magnetic resonance imaging using compressed sensing for intracranial and extracranial arteries: comparison with conventional parallel imaging. Korean J Radiol 20:487–497
Eichinger P, Hock A, Schön S et al (2019) Acceleration of double inversion recovery sequences in multiple sclerosis with compressed sensing. Invest Radiol 54:319–324
Kayvanrad M, Lin A, Joshi R, Chiu J, Peters T (2016) Diagnostic quality assessment of compressed sensing accelerated magnetic resonance neuroimaging. J Magn Reson Imaging 44:433–444
Okuchi S, Fushimi Y, Okada T et al (2018) Visualization of carotid vessel wall and atherosclerotic plaque: T1-SPACE vs. compressed sensing T1-SPACE. Eur Radiol. https://doi.org/10.1007/s00330-018-5862-8
Feng L, Benkert T, Block KT, Sodickson DK, Otazo R, Chandarana H (2017) Compressed sensing for body MRI. J Magn Reson Imaging 45:966–987
Kwon H, Reid S, Kim D, Lee S, Cho J, Oh J (2017) Diagnosing common bile duct obstruction : comparison of image quality and diagnostic performance of three-dimensional magnetic resonance cholangiopancreatography with and without compressed sensing. Abdom Radiol (NY) 43:2255–2261
Nam JG, Lee JM, Lee SM et al (2019) High acceleration three-dimensional T1-weighted dual echo Dixon hepatobiliary phase imaging using compressed sensing-sensitivity encoding : comparison of image quality and solid lesion detectability with the standard T1-weighted sequence. Korean J Radiol 20:438–448
Yoon JH, Lee SM, Kang H-J et al (2017) Clinical feasibility of 3-dimensional magnetic resonance cholangiopancreatography using compressed sensing: comparison of image quality and diagnostic performance. Invest Radiol 52:612–619
Kawai N, Goshima S, Noda Y et al (2019) Gadoxetic acid-enhanced dynamic magnetic resonance imaging using optimized integrated combination of compressed sensing and parallel imaging technique. Magn Reson Imaging 57:111–117
Kamesh Iyer S, Tasdizen T, Burgon N et al (2016) Compressed sensing for rapid late gadolinium enhanced imaging of the left atrium : a preliminary study. Magn Reson Imaging 34:846–854
Basha TA, Akçakaya M, Liew C et al (2017) Clinical performance of high-resolution late gadolinium enhancement imaging with compressed sensing. J Magn Reson Imaging 46:1829–1838
Lin ACW, Strugnell W, Riley R et al (2017) Higher resolution cine imaging with compressed sensing for accelerated clinical left ventricular evaluation. J Magn Reson Imaging 45:1693–1699
Ma LE, Markl M, Chow K et al (2019) Aortic 4D flow MRI in 2 minutes using compressed sensing, respiratory controlled adaptive k-space reordering, and inline reconstruction. Magn Reson Med 81:3675–3690
Vreemann S, Rodriguez-Ruiz A, Nickel D et al (2017) Compressed sensing for breast MRI. Invest Radiol 52:574–582
Kijowski R, Rosas H, Samsonov A, King K, Peters R, Liu F (2017) Knee imaging: rapid three-dimensional fast spin-echo using compressed sensing. J Magn Reson Imaging 45:1712–1722
Wang N, Badar F, Xia Y (2017) Compressed sensing in quantitative determination of GAG concentration in cartilage by microscopic MRI. Magn Reson Med 79:3163–3171
Yi J, Lee YH, Hahn S, Albakheet SS, Song HT, Suh JS (2019) Fast isotropic volumetric magnetic resonance imaging of the ankle: acceleration of the three-dimensional fast spin echo sequence using compressed sensing combined with parallel imaging. Eur J Radiol 112:52–58
Vasanawala SS, Alley MT, Hargreaves BA, Barth RA, Pauly JM, Lustig M (2010) Improved pediatric MR imaging with compressed sensing. Radiology 256:607–616
Santos-Díaz A, Noseworthy MD (2019) Comparison of compressed sensing reconstruction algorithms for 31P magnetic resonance spectroscopic imaging. Magn Reson Imaging 59:88–96
Klauser A, Courvoisier S, Kasten J et al (2018) Fast high-resolution brain metabolite mapping on a clinical 3T MRI by accelerated 1H-FID-MRSI and low-rank constrained reconstruction. Magn Reson Med 81:2841–2857
Sartoretti T, Reischauer C, Sartoretti E, Binkert C, Najafi A, Sartoretti-Schefer S (2018) Common artefacts encountered on images acquired with combined compressed sensing and SENSE. Insights Imaging 9:1107–1115
Sharma SD, Fong CL, Tzung BS, Law M, Nayak KS (2013) Clinical image quality assessment of accelerated magnetic resonance neuroimaging using compressed sensing. Invest Radiol 48:638–645
Lee SH, Lee YH, Suh JS (2018) Accelerating knee MR imaging : compressed sensing in isotropic three- dimensional fast spin-echo sequence. Magn Reson Imaging 46:90–97
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
Acknowledgments
The authors want to thank Philips for having provided the compressed SENSE option, the whole technician team for their implication in the sequence tuning and acquisition, in particular Ms. Mahjabeen Bontean and M. Cédric Garcia. We also gratefully thank the editor-in-chief Prof. Yves Menu and anonymous reviewers for their helpful comments.
Funding
The authors state that this work has not received any funding.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Guarantor
The scientific guarantor of this publication is Prof. Maria Isabel Vargas.
Conflict of interest
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
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 (CCER 2016-01821).
Methodology
• retrospective
• cross-sectional study
• performed at one institution
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
ESM 1
(DOCX 16 kb)
Rights and permissions
About this article
Cite this article
Delattre, B.M.A., Boudabbous, S., Hansen, C. et al. Compressed sensing MRI of different organs: ready for clinical daily practice?. Eur Radiol 30, 308–319 (2020). https://doi.org/10.1007/s00330-019-06319-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-019-06319-0