An Unbiased Groupwise Registration Algorithm for Correcting Motion in Dynamic Contrast-Enhanced Magnetic Resonance Images

  • Mia Mojica
  • Mehran EbrahimiEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11040)


A simple and computationally efficient algorithm for performing unbiased groupwise registration to correct motion in a dataset of contrast-enhanced magnetic resonance (DCE-MR) images is presented. All the DCE-MR images in the sequence are registered simultaneously and updates to the reference are computed using an averaging technique that takes into account all the transformations aligning each image to the current reference. The method is validated both subjectively and quantitatively using an abdominal DCE-MRI dataset. When combined with the normalized gradient field dissimilarity measure, it produced promising results and showed significant improvements compared to those obtained from an existing motion correction approach.


DCE-MRI registration Multilevel elastic registration Normalized gradient field Groupwise registration 



This work was supported in part by an NSERC Discovery grant and Deborah Saucier Early Researcher Award for Mehran Ebrahimi. Mia Mojica is supported by an Ontario Trillium Scholarship (OTS). The authors would like to acknowledge Dr. Anne Martel of Sunnybrook Research Institute, Toronto, Ontario, Canada for great discussions and for providing the DCE-MRI data.


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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Faculty of ScienceUniversity of Ontario Institute of TechnologyOshawaCanada

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