Literature DB >> 16779560

Prospective real-time slice-by-slice motion correction for fMRI in freely moving subjects.

O Speck1, J Hennig, M Zaitsev.   

Abstract

Subject motion is still the major source of data quality degradation in functional magnetic resonance imaging (fMRI) studies. Established methods correct motion between successive repetitions based on the acquired imaging volumes either retrospectively or prospectively. A fast, highly accurate, and prospective real-time correction method for fMRI using external optical motion tracking has been implemented. The head position is determined by means of an optical stereoscopic tracking system. The method corrects motion during the acquisition of an fMRI time series on a slice-by-slice basis by continuously updating the imaging volume position to follow the motion of the head. This method allows the measurement of fMRI data in the presence of significant motion during the acquisition of a single volume. Even without intentional motion, fMRI signal stability is maintained and higher sensitivity to detect activation is achieved without reducing specificity. With significant motion, only the proposed approach allowed detection of brain activation. The results show that the new method is superior to image-based correction methods, which fail in the case of fast or excessive motion.

Mesh:

Year:  2006        PMID: 16779560     DOI: 10.1007/s10334-006-0027-1

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  12 in total

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Authors:  P Jezzard; S Clare
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2.  Modeling geometric deformations in EPI time series.

Authors:  J L Andersson; C Hutton; J Ashburner; R Turner; K Friston
Journal:  Neuroimage       Date:  2001-05       Impact factor: 6.556

3.  Prospective acquisition correction for head motion with image-based tracking for real-time fMRI.

Authors:  S Thesen; O Heid; E Mueller; L R Schad
Journal:  Magn Reson Med       Date:  2000-09       Impact factor: 4.668

4.  Retrospective coregistration of functional magnetic resonance imaging data using external monitoring.

Authors:  Marleine Tremblay; Fred Tam; Simon J Graham
Journal:  Magn Reson Med       Date:  2005-01       Impact factor: 4.668

5.  Point spread function mapping with parallel imaging techniques and high acceleration factors: fast, robust, and flexible method for echo-planar imaging distortion correction.

Authors:  M Zaitsev; J Hennig; O Speck
Journal:  Magn Reson Med       Date:  2004-11       Impact factor: 4.668

6.  Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system.

Authors:  M Zaitsev; C Dold; G Sakas; J Hennig; O Speck
Journal:  Neuroimage       Date:  2006-04-05       Impact factor: 6.556

7.  Methods for diagnosis and treatment of stimulus-correlated motion in generic brain activation studies using fMRI.

Authors:  E T Bullmore; M J Brammer; S Rabe-Hesketh; V A Curtis; R G Morris; S C Williams; T Sharma; P K McGuire
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

8.  Orbital navigator echoes for motion measurements in magnetic resonance imaging.

Authors:  Z W Fu; Y Wang; R C Grimm; P J Rossman; J P Felmlee; S J Riederer; R L Ehman
Journal:  Magn Reson Med       Date:  1995-11       Impact factor: 4.668

9.  Artifacts due to stimulus correlated motion in functional imaging of the brain.

Authors:  J V Hajnal; R Myers; A Oatridge; J E Schwieso; I R Young; G M Bydder
Journal:  Magn Reson Med       Date:  1994-03       Impact factor: 4.668

10.  An accurate method for correction of head movement in PET.

Authors:  Paul Bühler; Uwe Just; Edmund Will; Jörg Kotzerke; Jörg van den Hoff
Journal:  IEEE Trans Med Imaging       Date:  2004-09       Impact factor: 10.048

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  44 in total

1.  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

2.  Combining prospective motion correction and distortion correction for EPI: towards a comprehensive correction of motion and susceptibility-induced artifacts.

Authors:  Rainer Boegle; Julian Maclaren; Maxim Zaitsev
Journal:  MAGMA       Date:  2010-08-06       Impact factor: 2.310

3.  High-field MRI of brain cortical substructure based on signal phase.

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

4.  Simultaneously recorded EEG-fMRI: removal of gradient artifacts by subtraction of head movement related average artifact waveforms.

Authors:  Limin Sun; Hermann Hinrichs
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

5.  Integration of motion correction and physiological noise regression in fMRI.

Authors:  Tyler B Jones; Peter A Bandettini; Rasmus M Birn
Journal:  Neuroimage       Date:  2008-05-21       Impact factor: 6.556

6.  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

7.  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

8.  A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics.

Authors:  Chao-Gan Yan; Brian Cheung; Clare Kelly; Stan Colcombe; R Cameron Craddock; Adriana Di Martino; Qingyang Li; Xi-Nian Zuo; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2013-03-15       Impact factor: 6.556

9.  Functional magnetic resonance imaging movers and shakers: does subject-movement cause sampling bias?

Authors:  Glenn R Wylie; Helen Genova; John DeLuca; Nancy Chiaravalloti; James F Sumowski
Journal:  Hum Brain Mapp       Date:  2012-07-30       Impact factor: 5.038

10.  Knee cartilage MRI with in situ mechanical loading using prospective motion correction.

Authors:  Thomas Lange; Julian Maclaren; Michael Herbst; Cris Lovell-Smith; Kaywan Izadpanah; Maxim Zaitsev
Journal:  Magn Reson Med       Date:  2014-02       Impact factor: 4.668

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