Literature DB >> 25630632

Motion artifacts in MRI: A complex problem with many partial solutions.

Maxim Zaitsev1, Julian Maclaren1,2, Michael Herbst1,3.   

Abstract

Subject motion during magnetic resonance imaging (MRI) has been problematic since its introduction as a clinical imaging modality. While sensitivity to particle motion or blood flow can be used to provide useful image contrast, bulk motion presents a considerable problem in the majority of clinical applications. It is one of the most frequent sources of artifacts. Over 30 years of research have produced numerous methods to mitigate or correct for motion artifacts, but no single method can be applied in all imaging situations. Instead, a "toolbox" of methods exists, where each tool is suitable for some tasks, but not for others. This article reviews the origins of motion artifacts and presents current mitigation and correction methods. In some imaging situations, the currently available motion correction tools are highly effective; in other cases, appropriate tools still need to be developed. It seems likely that this multifaceted approach will be what eventually solves the motion sensitivity problem in MRI, rather than a single solution that is effective in all situations. This review places a strong emphasis on explaining the physics behind the occurrence of such artifacts, with the aim of aiding artifact detection and mitigation in particular clinical situations.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  MRI; motion artifact; motion correction; motion prevention; review

Mesh:

Year:  2015        PMID: 25630632      PMCID: PMC4517972          DOI: 10.1002/jmri.24850

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  116 in total

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5.  Advances in sensitivity encoding with arbitrary k-space trajectories.

Authors:  K P Pruessmann; M Weiger; P Börnert; P Boesiger
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Authors:  G Krüger; G H Glover
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7.  Detection and elimination of motion artifacts by regeneration of k-space.

Authors:  M Bydder; D J Larkman; J V Hajnal
Journal:  Magn Reson Med       Date:  2002-04       Impact factor: 4.668

8.  Generalized autocalibrating partially parallel acquisitions (GRAPPA).

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9.  Reconstruction after rotational motion.

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  113 in total

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Journal:  Magn Reson Imaging       Date:  2018-09-11       Impact factor: 2.546

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Journal:  Radiology       Date:  2017-09-28       Impact factor: 11.105

4.  Synthetic MRI for Clinical Neuroimaging: Results of the Magnetic Resonance Image Compilation (MAGiC) Prospective, Multicenter, Multireader Trial.

Authors:  L N Tanenbaum; A J Tsiouris; A N Johnson; T P Naidich; M C DeLano; E R Melhem; P Quarterman; S X Parameswaran; A Shankaranarayanan; M Goyen; A S Field
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-27       Impact factor: 3.825

5.  Head motion measurement and correction using FID navigators.

Authors:  Tess E Wallace; Onur Afacan; Maryna Waszak; Tobias Kober; Simon K Warfield
Journal:  Magn Reson Med       Date:  2018-07-29       Impact factor: 4.668

6.  Exploring the sensitivity of magnetic resonance fingerprinting to motion.

Authors:  Zidan Yu; Tiejun Zhao; Jakob Assländer; Riccardo Lattanzi; Daniel K Sodickson; Martijn A Cloos
Journal:  Magn Reson Imaging       Date:  2018-09-05       Impact factor: 2.546

7.  Highly-accelerated volumetric brain examination using optimized wave-CAIPI encoding.

Authors:  Daniel Polak; Stephen Cauley; Susie Y Huang; Maria Gabriela Longo; John Conklin; Berkin Bilgic; Ned Ohringer; Esther Raithel; Peter Bachert; Lawrence L Wald; Kawin Setsompop
Journal:  J Magn Reson Imaging       Date:  2019-02-08       Impact factor: 4.813

8.  Prospective motion correction using coil-mounted cameras: Cross-calibration considerations.

Authors:  Julian Maclaren; Murat Aksoy; Melvyn B Ooi; Benjamin Zahneisen; Roland Bammer
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9.  Non-pharmacological strategies to obtain usable magnetic resonance images in non-sedated infants: Systematic review and meta-analysis.

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10.  Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis.

Authors:  Bahram Marami; Seyed Sadegh Mohseni Salehi; Onur Afacan; Benoit Scherrer; Caitlin K Rollins; Edward Yang; Judy A Estroff; Simon K Warfield; Ali Gholipour
Journal:  Neuroimage       Date:  2017-04-19       Impact factor: 6.556

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