Highlights
- •CS-SENSE accelerated images show diagnostic quality similar to conventional images.
- •CS-SENSE does not affect equally diagnostic quality of different sequences.
- •CS-SENSE has different effect on different anatomical structures within the image.
- •Noise enhancement and global ringing are two primary artifacts identified.
- •Special attention should be given to exact choice of CS factor for various clinical MRI context.
Abstract
Purpose
To investigate the impact of compressed sensing – sensitivity encoding (CS-SENSE)
acceleration factor on the diagnostic quality of magnetic resonance images within
standard brain protocol.
Methods
Three routine clinical neuroimaging sequences were chosen for this study due to their
long acquisition time: T2-weighted turbo spin echo (TSE), fluid - attenuated inversion
recovery (FLAIR), and 3D time of flight (TOF). Fully sampled reference scans and multiple
prospectively 2x to 5x undersampled CS scans were acquired. Retrospectively, undersampled
scans were compared to fully sampled scans and visually assessed for image quality
and diagnostic quality by three independent radiologists.
Results
Images obtained with CS-SENSE accelerated acquisition were of diagnostically acceptable
quality at up to 3x acceleration for T2 TSE (average qualitative score 3.53 on a 4-point
scale, with the acquisition time reduction of 64%), up to 2x for FLAIR (average qualitative
score 3.27, with the acquisition time reduction of 43%) and 4x acceleration for 3D
TOF sequence (average qualitative score 3.13, with the acquisition time reduction
of 73%). There were no substantial differences between the readers’ diagnostic quality
scores (p > 0.05).
Conclusions
CS-SENSE accelerated T2 TSE, FLAIR, and 3D TOF sequences of the brain show image quality
similar to that of conventional acquisitions with reduced acquisition time. CS-SENSE
can moderately reduce scan time, providing many benefits without losing the image
quality.
Abbreviations:
CS (compressed sensing), PI (parallel imaging), CS-SENSE (compressed sense-sensitivity encoding), TSE (turbo spin echo), FLAIR (fluid attenuated inversion recovery), TOF (time of flight)Keywords
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References
- Compressed Sensing MRI: a review.Crit Rev Biomed Eng. 2013; 41: 183-204
- Cardiac magnetic resonance imaging: patient safety considerations.Phys Med. 2005; 21: 5-13
- Reduction of procedure times in routine clinical practice with Compressed SENSE magnetic resonance imaging technique.PLoS ONE. 2019; 14: e0214887
- Compressed sensing-sensitivity encoding (CS-SENSE) accelerated brain imaging: reduced scan time without reduced image quality.AJNR Am J Neuroradiol. 2019; 40: 92-98
- Diagnostic quality assessment of compressed sensing accelerated magnetic resonance neuroimaging.J Magn Reson Imag. 2016; 44: 433-444
- Generalized autocalibrating partially parallel acquisitions (GRAPPA).Magn Reson Med. 2002; 47: 1202-1210
- POCSENSE: POC-based reconstruction for sensitivity encoded magnetic resonance imaging.Magn Reson Med. 2004; 52: 1397-1406
- Sparsse MRI: The application of compressed sensing for rapid MR imaging.Magn Reson Med. 2007; 58: 1182-1195
- Accelerating SENSE using compressed sensing.Magn Reson Med. 2009; 62: 1574-1584
- 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: 10-16
- Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI.Magn Reson Med. 2010; 64: 767-776
- Compressed sensing MRI: a review of the clinical literature.Br J Radiol. 2015; 88: 20150487
Geerts-Ossevoort L, de Weerdt E, Duijndam A, van Ijperen G, Peeters H, Doneva M, Nijenhuis M, Huang A. (2018) Compressed SENSE. Speed done right. Every time. Philips® healthcare, Netherlands. Available via https://philipsproductcontent.blob.core.windows.net/assets/20180109/619119731f2a42c4acd4a863008a46c7.pdf.
- Parallel magnetic resonance imaging.Phys Med Biol. 2007; 52: R15-R55
- Accuracy of the compressed sensing accelerated 3D-FLAIR sequence for the detection of MS plaques at 3T.AJNR Am J Neuroradiol. 2018; 39: 454-458
- Highly undersampled peripheral Time-of-Flight magnetic resonance angiography: optimized data acquisition and iterative image reconstruction.MAGMA. 2015; 28: 437-446
- Time-of-flight magnetic resonance angiography with sparse undersampling and iterative reconstruction: comparison with conventional parallel imaging for accelerated imaging.Invest Radiol. 2016; 51: 372-378
- Clinical image quality assessment of accelerated magnetic resonance neuroimaging using compressed sensing.Invest Radiol. 2013; 48: 638-645
- Near-optimal signal recovery from random projections: universal encoding strategies?.IEEE Trans Inf Theory. 2006; 52: 5406-5425
- Sparse reconstruction techniques in magnetic resonance imaging: methods, applications, and challenges to clinical adoption.Invest Radiol. 2016; 51: 349-364
- Common artifacts encountered on images acquired with combines compressed sensing and SENSE.Insights Imaging. 2018; 9: 1107-1115
- Reduction of flow-related signal loss in flow-compensated 3D TOF MR angiography, using variable echo time (3D TOF-VTE).Magn Reson Med. 2002; 48: 667-676https://doi.org/10.1002/mrm.v48:410.1002/mrm.10258
- Accelerated time-of-flight magnetic resonance angiography with sparse undersampling and iterative reconstruction for the evaluation of intracranial arteries.Korean J Radiol. 2019; 20: 265https://doi.org/10.3348/kjr.2017.0634
- Evaluating imaging and computer – aided detection and diagnosis devices at FDA.Acad Radiol. 2012; 19: 463-477
Article info
Publication history
Published online: July 14, 2021
Accepted:
July 4,
2021
Received in revised form:
July 1,
2021
Received:
January 18,
2021
Identification
Copyright
© 2021 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.
