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A method for the dynamic correction of B(0)-related distortions in single-echo EPI at 7 T

We propose a method to calculate field maps from the phase of each EPI in an fMRI time series. These field maps can be used to correct the corresponding magnitude images for distortion caused by inhomogeneity in the static magnetic field. In contrast to conventional static distortion correction, in...

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Detalles Bibliográficos
Autores principales: Dymerska, Barbara, Poser, Benedikt A., Barth, Markus, Trattnig, Siegfried, Robinson, Simon D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832018/
https://www.ncbi.nlm.nih.gov/pubmed/27397624
http://dx.doi.org/10.1016/j.neuroimage.2016.07.009
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author Dymerska, Barbara
Poser, Benedikt A.
Barth, Markus
Trattnig, Siegfried
Robinson, Simon D.
author_facet Dymerska, Barbara
Poser, Benedikt A.
Barth, Markus
Trattnig, Siegfried
Robinson, Simon D.
author_sort Dymerska, Barbara
collection PubMed
description We propose a method to calculate field maps from the phase of each EPI in an fMRI time series. These field maps can be used to correct the corresponding magnitude images for distortion caused by inhomogeneity in the static magnetic field. In contrast to conventional static distortion correction, in which one ‘snapshot’ field map is applied to all subsequent fMRI time points, our method also captures dynamic changes to B(0) which arise due to motion and respiration. The approach is based on the assumption that the non-B(0)-related contribution to the phase measured by each radio-frequency coil, which is dominated by the coil sensitivity, is stable over time and can therefore be removed to yield a field map from EPI. Our solution addresses imaging with multi-channel coils at ultra-high field (7 T), where phase offsets vary rapidly in space, phase processing is non-trivial and distortions are comparatively large. We propose using dual-echo gradient echo reference scan for the phase offset calculation, which yields estimates with high signal-to-noise ratio. An extrapolation method is proposed which yields reliable estimates for phase offsets even where motion is large and a tailored phase unwrapping procedure for EPI is suggested which gives robust results in regions with disconnected tissue or strong signal decay. Phase offsets are shown to be stable during long measurements (40 min) and for large head motions. The dynamic distortion correction proposed here is found to work accurately in the presence of large motion (up to 8.1°), whereas a conventional method based on single field map fails to correct or even introduces distortions (up to 11.2 mm). Finally, we show that dynamic unwarping increases the temporal stability of EPI in the presence of motion. Our approach can be applied to any EPI measurements without the need for sequence modification.
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spelling pubmed-58320182018-03-01 A method for the dynamic correction of B(0)-related distortions in single-echo EPI at 7 T Dymerska, Barbara Poser, Benedikt A. Barth, Markus Trattnig, Siegfried Robinson, Simon D. Neuroimage Article We propose a method to calculate field maps from the phase of each EPI in an fMRI time series. These field maps can be used to correct the corresponding magnitude images for distortion caused by inhomogeneity in the static magnetic field. In contrast to conventional static distortion correction, in which one ‘snapshot’ field map is applied to all subsequent fMRI time points, our method also captures dynamic changes to B(0) which arise due to motion and respiration. The approach is based on the assumption that the non-B(0)-related contribution to the phase measured by each radio-frequency coil, which is dominated by the coil sensitivity, is stable over time and can therefore be removed to yield a field map from EPI. Our solution addresses imaging with multi-channel coils at ultra-high field (7 T), where phase offsets vary rapidly in space, phase processing is non-trivial and distortions are comparatively large. We propose using dual-echo gradient echo reference scan for the phase offset calculation, which yields estimates with high signal-to-noise ratio. An extrapolation method is proposed which yields reliable estimates for phase offsets even where motion is large and a tailored phase unwrapping procedure for EPI is suggested which gives robust results in regions with disconnected tissue or strong signal decay. Phase offsets are shown to be stable during long measurements (40 min) and for large head motions. The dynamic distortion correction proposed here is found to work accurately in the presence of large motion (up to 8.1°), whereas a conventional method based on single field map fails to correct or even introduces distortions (up to 11.2 mm). Finally, we show that dynamic unwarping increases the temporal stability of EPI in the presence of motion. Our approach can be applied to any EPI measurements without the need for sequence modification. 2016-07-07 2018-03 /pmc/articles/PMC5832018/ /pubmed/27397624 http://dx.doi.org/10.1016/j.neuroimage.2016.07.009 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Dymerska, Barbara
Poser, Benedikt A.
Barth, Markus
Trattnig, Siegfried
Robinson, Simon D.
A method for the dynamic correction of B(0)-related distortions in single-echo EPI at 7 T
title A method for the dynamic correction of B(0)-related distortions in single-echo EPI at 7 T
title_full A method for the dynamic correction of B(0)-related distortions in single-echo EPI at 7 T
title_fullStr A method for the dynamic correction of B(0)-related distortions in single-echo EPI at 7 T
title_full_unstemmed A method for the dynamic correction of B(0)-related distortions in single-echo EPI at 7 T
title_short A method for the dynamic correction of B(0)-related distortions in single-echo EPI at 7 T
title_sort method for the dynamic correction of b(0)-related distortions in single-echo epi at 7 t
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832018/
https://www.ncbi.nlm.nih.gov/pubmed/27397624
http://dx.doi.org/10.1016/j.neuroimage.2016.07.009
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