Paper Info
Title
3-D Residual Eddy Current Field Characterisation: Applied to Diffusion Weighted Magnetic Resonance Imaging.
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.
Year
DOI
Venue
2013
10.1109/TMI.2013.2259249
IEEE Trans. Med. Imaging
Keywords
Field
DocType
image registration,eddy currents
Imaging phantom,Image quality,Mean squared error,Artificial intelligence,Eddy current,Residual,Computer vision,Computational physics,Signal-to-noise ratio,Nuclear magnetic resonance,Electromagnetic field,Image registration,Mathematics
Journal
Volume
Issue
ISSN
32
8
0278-0062
Citations 
PageRank 
References 
0
0.34
6
Authors
7
Name
Order
Citations
PageRank
K O'Brien122.09
Alessandro Daducci216512.96
Nils Kickler300.34
François Lazeyras423516.39
Rolf Gruetter523918.69
Thorsten Feiweier6583.46
Gunnar Krueger715811.36