• DocumentCode
    978166
  • Title

    Accounting for Signal Loss Due to Dephasing in the Correction of Distortions in Gradient-Echo EPI Via Nonrigid Registration

  • Author

    Li, Yong ; Xu, Ning ; Fitzpatrick, J. Michael ; Morgan, Victoria L. ; Pickens, David R. ; Dawant, Benoit M.

  • Author_Institution
    Vanderbilt Univ., Nashville
  • Volume
    26
  • Issue
    12
  • fYear
    2007
  • Firstpage
    1698
  • Lastpage
    1707
  • Abstract
    Gradient-echo (GE) echo planar imaging (EPI) is susceptible to both geometric distortions and signal loss. This paper presents a retrospective correction approach based on nonrigid image registration. A new physics-based intensity correction factor derived to compensate for intravoxel dephasing in GE EPI images is incorporated into a previously reported nonrigid registration algorithm. Intravoxel dephasing causes signal loss and thus intensity attenuation in the images. The new rephasing factor we introduce, which changes the intensity of a voxel in images during the registration, is used to improve the accuracy of the intensity-based nonrigid registration method and mitigate the intensity attenuation effect. Simulation-based experiments are first used to evaluate the method. A magnetic resonance (MR) simulator and a real field map are used to generate a realistic GE EPI image. The geometric distortion computed from the field map is used as the ground truth to which the estimated nonrigid deformation is compared. We then apply the algorithm to a set of real human brain images. The results show that, after registration, alignment between EPI and multishot, spin-echo images, which have relatively long acquisition times but negligible distortion, is improved and that signal loss caused by dephasing can be recovered.
  • Keywords
    biomedical MRI; brain; image registration; medical image processing; neurophysiology; GE EPI images; computed geometric distortion; estimated nonrigid deformation; gradient-echo echo planar imaging; human brain images; intensity attenuation effect; intensity-based nonrigid registration method; intravoxel dephasing; magnetic resonance simulator; nonrigid image registration algorithm; physics-based intensity correction factor; rephasing factor; retrospective correction approach; simulation-based experiments; Attenuation; Computational modeling; Diffusion tensor imaging; Distortion; Encoding; Image registration; Magnetic fields; Magnetic resonance imaging; Radio frequency; Signal processing; Distortion correction; gradient echo (GE) echo planar imaging (EPI); intravoxel dephasing; nonrigid registration; Algorithms; Artifacts; Brain Mapping; Chronology as Topic; Computer Simulation; Echo-Planar Imaging; Feedback; Head Movements; Humans; Image Enhancement; Image Processing, Computer-Assisted; Models, Anatomic; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Work Simplification;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2007.901987
  • Filename
    4383555