Literature DB >> 22570274

Prospective motion correction in brain imaging: a review.

Julian Maclaren1, Michael Herbst, Oliver Speck, Maxim Zaitsev.   

Abstract

Motion correction in magnetic resonance imaging by real-time adjustment of the imaging pulse sequence was first proposed more than 20 years ago. Recent advances have resulted from combining real-time correction with new navigator and external tracking mechanisms capable of quantifying rigid-body motion in all 6 degrees of freedom. The technique is now often referred to as "prospective motion correction." This article describes the fundamentals of prospective motion correction and reviews the latest developments in its application to brain imaging and spectroscopy. Although emphasis is placed on the brain as the organ of interest, the same principles apply whenever the imaged object can be approximated as a rigid body. Prospective motion correction can be used with most MR sequences, so it has potential to make a large impact in clinical routine. To maximize the benefits obtained from the technique, there are, however, several challenges still to be met. These include practical implementation issues, such as obtaining tracking data with minimal delay, and more fundamental problems, such as the magnetic field distortions caused by a moving object. This review discusses these challenges and summarizes the state of the art. We hope that this work will motivate further developments in prospective motion correction and help the technique to reach its full potential.
Copyright © 2012 Wiley Periodicals, Inc.

Mesh:

Year:  2012        PMID: 22570274     DOI: 10.1002/mrm.24314

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


  128 in total

1.  Removal of cerebrospinal fluid partial volume effects in quantitative magnetization transfer imaging using a three-pool model with nonexchanging water component.

Authors:  Pouria Mossahebi; Andrew L Alexander; Aaron S Field; Alexey A Samsonov
Journal:  Magn Reson Med       Date:  2014-11-13       Impact factor: 4.668

2.  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
Journal:  MAGMA       Date:  2012-06-13       Impact factor: 2.310

3.  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

4.  Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion.

Authors:  M Dylan Tisdall; Martin Reuter; Abid Qureshi; Randy L Buckner; Bruce Fischl; André J W van der Kouwe
Journal:  Neuroimage       Date:  2015-12-02       Impact factor: 6.556

5.  Real-time Correction of Motion and Imager Instability Artifacts during 3D γ-Aminobutyric Acid-edited MR Spectroscopic Imaging.

Authors:  Eva Heckova; Michal Považan; Bernhard Strasser; Patrik Krumpolec; Petra Hnilicová; Gilbert J Hangel; Philipp A Moser; Ovidiu C Andronesi; Andre J van der Kouwe; Peter Valkovic; Barbara Ukropcova; Siegfried Trattnig; Wolfgang Bogner
Journal:  Radiology       Date:  2017-09-28       Impact factor: 11.105

6.  Using Edge Voxel Information to Improve Motion Regression for rs-fMRI Connectivity Studies.

Authors:  Rémi Patriat; Erin K Molloy; Rasmus M Birn
Journal:  Brain Connect       Date:  2015-09-28

7.  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

8.  An improved model of motion-related signal changes in fMRI.

Authors:  Rémi Patriat; Richard C Reynolds; Rasmus M Birn
Journal:  Neuroimage       Date:  2016-08-25       Impact factor: 6.556

9.  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

10.  An MRI-compatible platform for one-dimensional motion management studies in MRI.

Authors:  Joris Nofiele; Qing Yuan; Mohammad Kazem; Ken Tatebe; Quinn Torres; Amit Sawant; Ivan Pedrosa; Rajiv Chopra
Journal:  Magn Reson Med       Date:  2015-10-23       Impact factor: 4.668

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