Literature DB >> 26864183

Motion correction in MRI of the brain.

F Godenschweger1, U Kägebein, D Stucht, U Yarach, A Sciarra, R Yakupov, F Lüsebrink, P Schulze, O Speck.   

Abstract

Subject motion in MRI is a relevant problem in the daily clinical routine as well as in scientific studies. Since the beginning of clinical use of MRI, many research groups have developed methods to suppress or correct motion artefacts. This review focuses on rigid body motion correction of head and brain MRI and its application in diagnosis and research. It explains the sources and types of motion and related artefacts, classifies and describes existing techniques for motion detection, compensation and correction and lists established and experimental approaches. Retrospective motion correction modifies the MR image data during the reconstruction, while prospective motion correction performs an adaptive update of the data acquisition. Differences, benefits and drawbacks of different motion correction methods are discussed.

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Mesh:

Year:  2016        PMID: 26864183      PMCID: PMC4930872          DOI: 10.1088/0031-9155/61/5/R32

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  121 in total

Review 1.  Sources of distortion in functional MRI data.

Authors:  P Jezzard; S Clare
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

2.  Analysis of wave behavior in lossy dielectric samples at high field.

Authors:  Qing X Yang; Jinghua Wang; Xiaoliang Zhang; Christopher M Collins; Michael B Smith; Haiying Liu; Xiao-Hong Zhu; J Thomas Vaughan; Kamil Ugurbil; Wei Chen
Journal:  Magn Reson Med       Date:  2002-05       Impact factor: 4.668

3.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

4.  Autocorrection in MR imaging: adaptive motion correction without navigator echoes.

Authors:  A Manduca; K P McGee; E B Welch; J P Felmlee; R C Grimm; R L Ehman
Journal:  Radiology       Date:  2000-06       Impact factor: 11.105

5.  Simultaneous phase correction and SENSE reconstruction for navigated multi-shot DWI with non-cartesian k-space sampling.

Authors:  Chunlei Liu; Michael E Moseley; Roland Bammer
Journal:  Magn Reson Med       Date:  2005-12       Impact factor: 4.668

6.  Retrospective Rigid Motion Correction in k-Space for Segmented Radial MRI.

Authors:  Ghislain Vaillant; Claudia Prieto; Christoph Kolbitsch; Graeme Penney; Tobias Schaeffter
Journal:  IEEE Trans Med Imaging       Date:  2013-06-14       Impact factor: 10.048

7.  Combined prospective and retrospective motion correction to relax navigator requirements.

Authors:  Julian Maclaren; Kuan J Lee; Chaiya Luengviriya; Oliver Speck; Maxim Zaitsev
Journal:  Magn Reson Med       Date:  2011-02-11       Impact factor: 4.668

8.  Simultaneous registration of multiple images: similarity metrics and efficient optimization.

Authors:  Christian Wachinger; Nassir Navab
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2013-05       Impact factor: 6.226

9.  Echo-planar imaging with prospective slice-by-slice motion correction using active markers.

Authors:  Melvyn B Ooi; Sascha Krueger; Jordan Muraskin; William J Thomas; Truman R Brown
Journal:  Magn Reson Med       Date:  2011-02-24       Impact factor: 4.668

10.  Prospective real-time correction for arbitrary head motion using active markers.

Authors:  Melvyn B Ooi; Sascha Krueger; William J Thomas; Srirama V Swaminathan; Truman R Brown
Journal:  Magn Reson Med       Date:  2009-10       Impact factor: 4.668

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  36 in total

1.  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

2.  Feasibility of accelerated 3D T1-weighted MRI using compressed sensing: application to quantitative volume measurements of human brain structures.

Authors:  Uten Yarach; Suwit Saekho; Kawin Setsompop; Atita Suwannasak; Ratthaporn Boonsuth; Kittichai Wantanajittikul; Salita Angkurawaranon; Chaisiri Angkurawaranon; Prapatsorn Sangpin
Journal:  MAGMA       Date:  2021-06-28       Impact factor: 2.310

3.  Automated reference-free detection of motion artifacts in magnetic resonance images.

Authors:  Thomas Küstner; Annika Liebgott; Lukas Mauch; Petros Martirosian; Fabian Bamberg; Konstantin Nikolaou; Bin Yang; Fritz Schick; Sergios Gatidis
Journal:  MAGMA       Date:  2017-09-20       Impact factor: 2.310

Review 4.  Imaging structural and functional brain development in early childhood.

Authors:  John H Gilmore; Rebecca C Knickmeyer; Wei Gao
Journal:  Nat Rev Neurosci       Date:  2018-02-16       Impact factor: 34.870

Review 5.  Prospective motion correction in functional MRI.

Authors:  Maxim Zaitsev; Burak Akin; Pierre LeVan; Benjamin R Knowles
Journal:  Neuroimage       Date:  2016-11-11       Impact factor: 6.556

6.  Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model.

Authors:  Melissa W Haskell; Stephen F Cauley; Berkin Bilgic; Julian Hossbach; Daniel N Splitthoff; Josef Pfeuffer; Kawin Setsompop; Lawrence L Wald
Journal:  Magn Reson Med       Date:  2019-05-02       Impact factor: 4.668

7.  Distinctions among real and apparent respiratory motions in human fMRI data.

Authors:  Jonathan D Power; Charles J Lynch; Benjamin M Silver; Marc J Dubin; Alex Martin; Rebecca M Jones
Journal:  Neuroimage       Date:  2019-07-22       Impact factor: 6.556

8.  Real-Time Filtering with Sparse Variations for Head Motion in Magnetic Resonance Imaging.

Authors:  Daniel S Weller; Douglas C Noll; Jeffrey A Fessler
Journal:  Signal Processing       Date:  2018-12-03       Impact factor: 4.662

9.  Retrospective Brain Motion Correction in Glutamate Chemical Exchange Saturation Transfer (GluCEST) MRI.

Authors:  Dong-Hoon Lee; Do-Wan Lee; Jae-Im Kwon; Chul-Woong Woo; Sang-Tae Kim; Jeong Kon Kim; Kyung Won Kim; Dong-Cheol Woo
Journal:  Mol Imaging Biol       Date:  2019-12       Impact factor: 3.488

Review 10.  Toward 20 T magnetic resonance for human brain studies: opportunities for discovery and neuroscience rationale.

Authors:  Thomas F Budinger; Mark D Bird; Lucio Frydman; Joanna R Long; Thomas H Mareci; William D Rooney; Bruce Rosen; John F Schenck; Victor D Schepkin; A Dean Sherry; Daniel K Sodickson; Charles S Springer; Keith R Thulborn; Kamil Uğurbil; Lawrence L Wald
Journal:  MAGMA       Date:  2016-05-18       Impact factor: 2.310

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