• DocumentCode
    741078
  • Title

    3-D Residual Eddy Current Field Characterisation: Applied to Diffusion Weighted Magnetic Resonance Imaging

  • Author

    O´Brien, Kevin ; Daducci, Alessandro ; Kickler, Nils ; Lazeyras, Francois ; Gruetter, Rolf ; Feiweier, Thorsten ; Krueger, Gunnar

  • Author_Institution
    Signal Process. Lab. (LTS5), Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
  • Volume
    32
  • Issue
    8
  • fYear
    2013
  • Firstpage
    1515
  • Lastpage
    1525
  • 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.
  • Keywords
    biodiffusion; biomedical MRI; brain; eddy currents; image registration; mean square error methods; medical image processing; phantoms; 3D residual eddy current field characterisation; Stejskal-Tanner diffusion weighted images; b-value protocols; diffusion weighted magnetic resonance imaging; diffusion-weighting gradients; geometric distortion correction; image quality; image registration based corrections; linear response theory; phantom eddy current field measurement; root mean square error; Current measurement; Delays; Eddy currents; Harmonic analysis; Magnetic resonance imaging; Protocols; Brain; diffusion; eddy currents; magnetic resonance imaging (MRI); tractography; Brain; Diffusion Tensor Imaging; Electromagnetic Fields; Humans; Imaging, Three-Dimensional; Phantoms, Imaging; Reproducibility of Results; Signal-To-Noise Ratio;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2013.2259249
  • Filename
    6514081