Literature DB >> 19526503

Prospective head-movement correction for high-resolution MRI using an in-bore optical tracking system.

Lei Qin1, Peter van Gelderen, John Andrew Derbyshire, Fenghua Jin, Jongho Lee, Jacco A de Zwart, Yang Tao, Jeff H Duyn.   

Abstract

In MRI of the human brain, subject motion is a major cause of magnetic resonance image quality degradation. To compensate for the effects of head motion during data acquisition, an in-bore optical motion tracking system is proposed. The system comprises two MR-compatible infrared cameras that are fixed on a holder right above and in front of the head coil. The resulting close proximity of the cameras to the object allows precise tracking of its movement. During image acquisition, the MRI scanner uses this tracking information to prospectively compensate for head motion by adjusting the gradient field direction and radio frequency (RF) phases and frequencies. Experiments performed on subjects demonstrate robust system performance with translation and rotation accuracies of 0.1 mm and 0.15 degrees, respectively. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19526503      PMCID: PMC3523280          DOI: 10.1002/mrm.22076

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  23 in total

1.  Prospective multiaxial motion correction for fMRI.

Authors:  H A Ward; S J Riederer; R C Grimm; R L Ehman; J P Felmlee; C R Jack
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2.  Motion correction with PROPELLER MRI: application to head motion and free-breathing cardiac imaging.

Authors:  J G Pipe
Journal:  Magn Reson Med       Date:  1999-11       Impact factor: 4.668

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

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4.  Projection reconstruction techniques for reduction of motion effects in MRI.

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5.  Flexible real-time magnetic resonance imaging framework.

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6.  Real-time rigid body motion correction and shimming using cloverleaf navigators.

Authors:  André J W van der Kouwe; Thomas Benner; Anders M Dale
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7.  Motion artifacts in fMRI: comparison of 2DFT with PR and spiral scan methods.

Authors:  G H Glover; A T Lee
Journal:  Magn Reson Med       Date:  1995-05       Impact factor: 4.668

8.  Least-squares fitting of two 3-d point sets.

Authors:  K S Arun; T S Huang; S D Blostein
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9.  A prospective approach to correct for inter-image head rotation in fMRI.

Authors:  C C Lee; R C Grimm; A Manduca; J P Felmlee; R L Ehman; S J Riederer; C R Jack
Journal:  Magn Reson Med       Date:  1998-02       Impact factor: 4.668

10.  Consistent projection reconstruction (CPR) techniques for MRI.

Authors:  G H Glover; D C Noll
Journal:  Magn Reson Med       Date:  1993-03       Impact factor: 4.668

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  56 in total

1.  High-field MRI of brain iron.

Authors:  Jozef H Duyn
Journal:  Methods Mol Biol       Date:  2011

2.  Prospective motion correction for magnetic resonance spectroscopy using single camera Retro-Grate reflector optical tracking.

Authors:  Brian C Andrews-Shigaki; Brian S R Armstrong; Maxim Zaitsev; Thomas Ernst
Journal:  J Magn Reson Imaging       Date:  2011-02       Impact factor: 4.813

3.  Comparison of brain MR images at 1.5T using BLADE and rectilinear techniques for patients who move during data acquisition.

Authors:  E Nyberg; G S Sandhu; J Jesberger; K A Blackham; D P Hsu; M A Griswold; J L Sunshine
Journal:  AJNR Am J Neuroradiol       Date:  2011-11-17       Impact factor: 3.825

4.  An embedded optical tracking system for motion-corrected magnetic resonance imaging at 7T.

Authors:  Jessica Schulz; Thomas Siegert; Enrico Reimer; Christian Labadie; Julian Maclaren; Michael Herbst; Maxim Zaitsev; Robert Turner
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Review 5.  The future of ultra-high field MRI and fMRI for study of the human brain.

Authors:  Jeff H Duyn
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6.  Prospective motion correction using tracking coils.

Authors:  Lei Qin; Ehud J Schmidt; Zion Tsz Ho Tse; Juan Santos; William S Hoge; Clare Tempany-Afdhal; Kim Butts-Pauly; Charles L Dumoulin
Journal:  Magn Reson Med       Date:  2012-05-07       Impact factor: 4.668

7.  Homogeneous coordinates in motion correction.

Authors:  Benjamin Zahneisen; Thomas Ernst
Journal:  Magn Reson Med       Date:  2015-02-03       Impact factor: 4.668

8.  Quantitative framework for prospective motion correction evaluation.

Authors:  Nicolas A Pannetier; Theano Stavrinos; Peter Ng; Michael Herbst; Maxim Zaitsev; Karl Young; Gerald Matson; Norbert Schuff
Journal:  Magn Reson Med       Date:  2015-03-11       Impact factor: 4.668

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

Authors:  Julian Maclaren; Murat Aksoy; Melvyn B Ooi; Benjamin Zahneisen; Roland Bammer
Journal:  Magn Reson Med       Date:  2017-07-19       Impact factor: 4.668

10.  Prospective active marker motion correction improves statistical power in BOLD fMRI.

Authors:  Jordan Muraskin; Melvyn B Ooi; Robin I Goldman; Sascha Krueger; William J Thomas; Paul Sajda; Truman R Brown
Journal:  Neuroimage       Date:  2012-12-05       Impact factor: 6.556

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