Head motion measurement and correction using FID navigators.

Details

Serval ID
serval:BIB_99E2767FB338
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Head motion measurement and correction using FID navigators.
Journal
Magnetic resonance in medicine
Author(s)
Wallace T.E., Afacan O., Waszak M., Kober T., Warfield S.K.
ISSN
1522-2594 (Electronic)
ISSN-L
0740-3194
Publication state
Published
Issued date
01/2019
Peer-reviewed
Oui
Volume
81
Number
1
Pages
258-274
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
To develop a novel framework for rapid, intrinsic head motion measurement in MRI using FID navigators (FIDnavs) from a multichannel head coil array.
FIDnavs encode substantial rigid-body motion information; however, current implementations require patient-specific training with external tracking data to extract quantitative positional changes. In this work, a forward model of FIDnav signals was calibrated using simulated movement of a reference image within a model of the spatial coil sensitivities. A FIDnav module was inserted into a nonselective 3D FLASH sequence, and rigid-body motion parameters were retrospectively estimated every readout time using nonlinear optimization to solve the inverse problem posed by the measured FIDnavs. This approach was tested in simulated data and in 7 volunteers, scanned at 3T with a 32-channel head coil array, performing a series of directed motion paradigms.
FIDnav motion estimates achieved mean absolute errors of 0.34 ± 0.49 mm and 0.52 ± 0.61° across all subjects and scans, relative to ground-truth motion measurements provided by an electromagnetic tracking system. Retrospective correction with FIDnav motion estimates resulted in substantial improvements in quantitative image quality metrics across all scans with intentional head motion.
Quantitative rigid-body motion information can be effectively estimated using the proposed FIDnav-based approach, which represents a practical method for retrospective motion compensation in less cooperative patient populations.
Keywords
Algorithms, Artifacts, Brain/diagnostic imaging, Computer Simulation, Head/diagnostic imaging, Head Movements, Healthy Volunteers, Humans, Image Enhancement/methods, Image Processing, Computer-Assisted, Imaging, Three-Dimensional/methods, Magnetic Resonance Imaging, Phantoms, Imaging, Reference Values, Reproducibility of Results, FID navigators, MRI motion measurement, coil sensitivity profile, motion correction
Pubmed
Web of science
Open Access
Yes
Create date
07/08/2018 9:32
Last modification date
04/01/2020 6:17
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