Literature DB >> 21590805

Combined prospective and retrospective motion correction to relax navigator requirements.

Julian Maclaren1, Kuan J Lee, Chaiya Luengviriya, Oliver Speck, Maxim Zaitsev.   

Abstract

Prospective motion correction can prevent motion artifacts in magnetic resonance imaging of the brain. However, for high-resolution imaging, the technique relies on precise tracking of head motion. This precision is often limited by tracking noise, which leads to residual errors in the prospectively-corrected k-space data and artifacts in the image. This work shows that it is possible to estimate these tracking errors, and hence the true k-space sample locations, by applying a two-sided filter to the tracking data after imaging. A conjugate gradient reconstruction is compared to gridding as a means of using this information to retrospectively correct for the effects of the residual errors.
Copyright © 2011 Wiley-Liss, Inc.

Mesh:

Year:  2011        PMID: 21590805     DOI: 10.1002/mrm.22754

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


  17 in total

1.  Nonrigid motion correction in 3D using autofocusing with localized linear translations.

Authors:  Joseph Y Cheng; Marcus T Alley; Charles H Cunningham; Shreyas S Vasanawala; John M Pauly; Michael Lustig
Journal:  Magn Reson Med       Date:  2012-02-03       Impact factor: 4.668

2.  Correction of B 0-induced geometric distortion variations in prospective motion correction for 7T MRI.

Authors:  Uten Yarach; Chaiya Luengviriya; Daniel Stucht; Frank Godenschweger; Peter Schulze; Oliver Speck
Journal:  MAGMA       Date:  2016-02-09       Impact factor: 2.310

3.  Homogeneous coordinates in motion correction.

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

4.  Reverse retrospective motion correction.

Authors:  Benjamin Zahneisen; Brian Keating; Aditya Singh; Michael Herbst; Thomas Ernst
Journal:  Magn Reson Med       Date:  2015-07-03       Impact factor: 4.668

5.  Hybrid prospective and retrospective head motion correction to mitigate cross-calibration errors.

Authors:  Murat Aksoy; Christoph Forman; Matus Straka; Tolga Çukur; Joachim Hornegger; Roland Bammer
Journal:  Magn Reson Med       Date:  2011-08-08       Impact factor: 4.668

6.  Correction of gradient nonlinearity artifacts in prospective motion correction for 7T MRI.

Authors:  Uten Yarach; Chaiya Luengviriya; Appu Danishad; Daniel Stucht; Frank Godenschweger; Peter Schulze; Oliver Speck
Journal:  Magn Reson Med       Date:  2014-05-05       Impact factor: 4.668

Review 7.  Motion correction in MRI of the brain.

Authors:  F Godenschweger; U Kägebein; D Stucht; U Yarach; A Sciarra; R Yakupov; F Lüsebrink; P Schulze; O Speck
Journal:  Phys Med Biol       Date:  2016-02-11       Impact factor: 3.609

8.  Adaptive retrospective correction of motion artifacts in cranial MRI with multicoil three-dimensional radial acquisitions.

Authors:  Ashley G Anderson; Julia Velikina; Walter Block; Oliver Wieben; Alexey Samsonov
Journal:  Magn Reson Med       Date:  2012-07-03       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.  Motion correction for MR cystography by an image processing approach.

Authors:  Qin Lin; Zhengrong Liang; Chaijie Duan; Jianhua Ma; Haifang Li; Clement Roque; Jie Yang; Guangxiang Zhang; Hongbing Lu; Xiaohai He
Journal:  IEEE Trans Biomed Eng       Date:  2013-04-12       Impact factor: 4.538

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