Image space automatic motion correction for MRI images

Armando Manduca, David S. Lake, Natalia Khaylova, Richard L. Ehman

Research output: Contribution to journalConference articlepeer-review


Automatic retrospective motion correction algorithms based on iterative optimization of an image quality measure have been demonstrated in a variety of MRI acquisitions. These algorithms are computationally intensive and may require several minutes per image or more. One computational bottleneck is the need for an inverse FFT at each iteration to reconstruct and evaluate the image. We describe a method for performing the iterative search primarily in image space, greatly reducing the number of FFTs required This can significantly increase the computational speed, particularly when the evaluation is performed only on a sub-region of the image.

Original languageEnglish (US)
Pages (from-to)390-397
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5370 I
StatePublished - Oct 27 2004
EventProgress in Biomedical Optics and Imaging - Medical Imaging 2004: Imaging Processing - San Diego, CA, United States
Duration: Feb 16 2004Feb 19 2004


  • Image quality
  • Motion artifacts
  • Motion correction
  • MRI
  • Optimization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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