Literature DB >> 31264014

Compressed sensing MRI of different organs: ready for clinical daily practice?

Bénédicte Marie Anne Delattre1, Sana Boudabbous2, Catrina Hansen2, Angeliki Neroladaki2, Anne-Lise Hachulla2, Maria Isabel Vargas3.   

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.

Entities:  

Keywords:  Acceleration; Data compression; Image processing, computer-assisted; Magnetic resonance imaging

Mesh:

Year:  2019        PMID: 31264014     DOI: 10.1007/s00330-019-06319-0

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  29 in total

1.  Improved pediatric MR imaging with compressed sensing.

Authors:  Shreyas S Vasanawala; Marcus T Alley; Brian A Hargreaves; Richard A Barth; John M Pauly; Michael Lustig
Journal:  Radiology       Date:  2010-06-07       Impact factor: 11.105

Review 2.  Compressed sensing MRI: a review of the clinical literature.

Authors:  Oren N Jaspan; Roman Fleysher; Michael L Lipton
Journal:  Br J Radiol       Date:  2015-09-24       Impact factor: 3.039

3.  Diagnostic quality assessment of compressed sensing accelerated magnetic resonance neuroimaging.

Authors:  Mohammad Kayvanrad; Amy Lin; Rohit Joshi; Jack Chiu; Terry Peters
Journal:  J Magn Reson Imaging       Date:  2016-01-18       Impact factor: 4.813

4.  Aortic 4D flow MRI in 2 minutes using compressed sensing, respiratory controlled adaptive k-space reordering, and inline reconstruction.

Authors:  Liliana E Ma; Michael Markl; Kelvin Chow; Hyungkyu Huh; Christoph Forman; Alireza Vali; Andreas Greiser; James Carr; Susanne Schnell; Alex J Barker; Ning Jin
Journal:  Magn Reson Med       Date:  2019-02-25       Impact factor: 4.668

5.  Acceleration of Double Inversion Recovery Sequences in Multiple Sclerosis With Compressed Sensing.

Authors:  Paul Eichinger; Andreas Hock; Simon Schön; Christine Preibisch; Jan S Kirschke; Mark Mühlau; Claus Zimmer; Benedikt Wiestler
Journal:  Invest Radiol       Date:  2019-06       Impact factor: 6.016

6.  Fast high-resolution brain metabolite mapping on a clinical 3T MRI by accelerated 1 H-FID-MRSI and low-rank constrained reconstruction.

Authors:  Antoine Klauser; Sebastien Courvoisier; Jeffrey Kasten; Michel Kocher; Matthieu Guerquin-Kern; Dimitri Van De Ville; Francois Lazeyras
Journal:  Magn Reson Med       Date:  2018-12-18       Impact factor: 4.668

Review 7.  Compressed sensing for body MRI.

Authors:  Li Feng; Thomas Benkert; Kai Tobias Block; Daniel K Sodickson; Ricardo Otazo; Hersh Chandarana
Journal:  J Magn Reson Imaging       Date:  2016-12-16       Impact factor: 4.813

8.  Accelerating knee MR imaging: Compressed sensing in isotropic three-dimensional fast spin-echo sequence.

Authors:  Seung Hyun Lee; Young Han Lee; Jin-Suck Suh
Journal:  Magn Reson Imaging       Date:  2017-11-15       Impact factor: 2.546

9.  Compressed sensing for rapid late gadolinium enhanced imaging of the left atrium: A preliminary study.

Authors:  Srikant Kamesh Iyer; Tolga Tasdizen; Nathan Burgon; Eugene Kholmovski; Nassir Marrouche; Ganesh Adluru; Edward DiBella
Journal:  Magn Reson Imaging       Date:  2016-03-08       Impact factor: 2.546

10.  Knee imaging: Rapid three-dimensional fast spin-echo using compressed sensing.

Authors:  Richard Kijowski; Humberto Rosas; Alexey Samsonov; Kevin King; Rob Peters; Fang Liu
Journal:  J Magn Reson Imaging       Date:  2016-10-11       Impact factor: 4.813

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  6 in total

1.  Voxel-based mapping of five MR biomarkers in the wrist bone marrow.

Authors:  Louis Marage; Jeremy Lasbleiz; Maxime Fondin; Mathieu Lederlin; Giulio Gambarota; Hervé Saint-Jalmes
Journal:  MAGMA       Date:  2021-03-12       Impact factor: 2.310

2.  Achieving high-resolution 1H-MRSI of the human brain with compressed-sensing and low-rank reconstruction at 7 Tesla.

Authors:  Antoine Klauser; Bernhard Strasser; Bijaya Thapa; Francois Lazeyras; Ovidiu Andronesi
Journal:  J Magn Reson       Date:  2021-08-11       Impact factor: 2.734

3.  Compressed sensing based dynamic MR image reconstruction by using 3D-total generalized variation and tensor decomposition: k-t TGV-TD.

Authors:  Jucheng Zhang; Lulu Han; Jianzhong Sun; Zhikang Wang; Wenlong Xu; Yonghua Chu; Ling Xia; Mingfeng Jiang
Journal:  BMC Med Imaging       Date:  2022-05-27       Impact factor: 2.795

4.  Assessment of Left Ventricular Systolic Function by Cardiovascular Magnetic Resonance Compressed Sensing Real-Time Cine Imaging Combined With Area-Length Method in Normal Sinus Rhythm and Atrial Fibrillation.

Authors:  Gang Yin; Chen Cui; Jing An; Kankan Zhao; Kai Yang; Shuang Li; Xinling Yang; Jiaxin Wang; Zhixiang Dong; Shiqin Yu; Jian He; Xiuyu Chen; Minjie Lu; Shihua Zhao
Journal:  Front Cardiovasc Med       Date:  2022-05-27

Review 5.  A narrative review of MRI acquisition for MR-guided-radiotherapy in prostate cancer.

Authors:  Jing Yuan; Darren M C Poon; Gladys Lo; Oi Lei Wong; Kin Yin Cheung; Siu Ki Yu
Journal:  Quant Imaging Med Surg       Date:  2022-02

6.  Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning.

Authors:  Caohui Duan; He Deng; Sa Xiao; Junshuai Xie; Haidong Li; Xiuchao Zhao; Dongshan Han; Xianping Sun; Xin Lou; Chaohui Ye; Xin Zhou
Journal:  Eur Radiol       Date:  2021-07-13       Impact factor: 7.034

  6 in total

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