Literature DB >> 9469706

A prospective approach to correct for inter-image head rotation in fMRI.

C C Lee1, R C Grimm, A Manduca, J P Felmlee, R L Ehman, S J Riederer, C R Jack.   

Abstract

Global head motion occurring between successive image acquisitions during a functional MRI time series can corrupt the signal of physiologic brain activation, potentially invalidating interpretation of the final activation map from that particular fMRI time series. By approximating the head as a rigid body, multiaxial global head motion can be decomposed into orthogonal linear and rotational components. This paper describes a method using orbital navigator echoes to provide prospective correction for both through-plane and in-plane inter-image head rotation in functional MRI. The dynamic detection and correction of rotation can be performed in <100 ms. Phantom experiments demonstrate accurate correction of rotational motion over a range of +/-0.36 degrees to +/-12 degrees. Imaging studies in volunteers document the feasibility of real-time prospective correction of rotational motion in vivo. Using a modified receiver operating characteristic method, motion-corrected functional MRI sensorimotor studies incorporating deliberate head rotations are shown to be superior to functional MRI time series acquired under similar conditions but without motion correction.

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Year:  1998        PMID: 9469706     DOI: 10.1002/mrm.1910390210

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


  10 in total

Review 1.  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

Review 2.  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

3.  SimPACE: generating simulated motion corrupted BOLD data with synthetic-navigated acquisition for the development and evaluation of SLOMOCO: a new, highly effective slicewise motion correction.

Authors:  Erik B Beall; Mark J Lowe
Journal:  Neuroimage       Date:  2014-06-24       Impact factor: 6.556

4.  Prospective real-time head motion correction using inductively coupled wireless NMR probes.

Authors:  Saikat Sengupta; Sasidhar Tadanki; John C Gore; E Brian Welch
Journal:  Magn Reson Med       Date:  2013-11-18       Impact factor: 4.668

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

Authors:  Lei Qin; Peter van Gelderen; John Andrew Derbyshire; Fenghua Jin; Jongho Lee; Jacco A de Zwart; Yang Tao; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2009-10       Impact factor: 4.668

6.  Isolated assessment of translation or rotation severely underestimates the effects of subject motion in fMRI data.

Authors:  Marko Wilke
Journal:  PLoS One       Date:  2014-10-21       Impact factor: 3.240

7.  Real-time motion detection of functional MRI data.

Authors:  Theodore R Steger; Edward F Jackson
Journal:  J Appl Clin Med Phys       Date:  2004-04-01       Impact factor: 2.102

8.  Tracking of rigid head motion during MRI using an EEG system.

Authors:  Malte Laustsen; Mads Andersen; Rong Xue; Kristoffer H Madsen; Lars G Hanson
Journal:  Magn Reson Med       Date:  2022-04-25       Impact factor: 3.737

9.  Highest Resolution In Vivo Human Brain MRI Using Prospective Motion Correction.

Authors:  Daniel Stucht; K Appu Danishad; Peter Schulze; Frank Godenschweger; Maxim Zaitsev; Oliver Speck
Journal:  PLoS One       Date:  2015-07-30       Impact factor: 3.240

10.  Influence of Head Motion on the Accuracy of 3D Reconstruction with Cone-Beam CT: Landmark Identification Errors in Maxillofacial Surface Model.

Authors:  Kyung-Min Lee; Jin-Myoung Song; Jin-Hyoung Cho; Hyeon-Shik Hwang
Journal:  PLoS One       Date:  2016-04-11       Impact factor: 3.240

  10 in total

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