3-d residual eddy current field characterisation: applied to diffusion weighted magnetic resonance imaging.

Details

Serval ID
serval:BIB_45CEA360C861
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
3-d residual eddy current field characterisation: applied to diffusion weighted magnetic resonance imaging.
Journal
IEEE Transactions on Medical Imaging
Author(s)
O'Brien K., Daducci A., Kickler N., Lazeyras F., Gruetter R., Feiweier T., Krueger G.
ISSN
1558-254X (Electronic)
ISSN-L
0278-0062
Publication state
Published
Issued date
2013
Peer-reviewed
Oui
Volume
32
Number
8
Pages
1515-1525
Language
english
Notes
Publication types: Journal Article Publication Status: ppublish
Abstract
Clinical use of the Stejskal-Tanner diffusion weighted images is hampered by the geometric distortions that result from the large residual 3-D eddy current field induced. In this work, we aimed to predict, using linear response theory, the residual 3-D eddy current field required for geometric distortion correction based on phantom eddy current field measurements. The predicted 3-D eddy current field induced by the diffusion-weighting gradients was able to reduce the root mean square error of the residual eddy current field to ~1 Hz. The model's performance was tested on diffusion weighted images of four normal volunteers, following distortion correction, the quality of the Stejskal-Tanner diffusion-weighted images was found to have comparable quality to image registration based corrections (FSL) at low b-values. Unlike registration techniques the correction was not hindered by low SNR at high b-values, and results in improved image quality relative to FSL. Characterization of the 3-D eddy current field with linear response theory enables the prediction of the 3-D eddy current field required to correct eddy current induced geometric distortions for a wide range of clinical and high b-value protocols.
Pubmed
Web of science
Open Access
Yes
Create date
25/06/2013 8:18
Last modification date
20/08/2019 14:50
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