Automatic compensation of motion artifacts in MRI

David Atkinson, Derek L G Hill, Peter N R Stoyle, Paul E. Summers, Stuart Clare, Richard Bowtell, Stephen F. Keevil

Research output: Contribution to journalArticlepeer-review


Patient motion during the acquisition of a magnetic resonance image can cause blurring and ghosting artifacts in the image. This paper presents a new post-processing strategy that can reduce artifacts due to in-plane, rigid- body motion in times comparable to that required to re-scan a patient. The algorithm iteratively determines unknown patient motion such that corrections for this motion provide the best image quality, as measured by an entropy- related focus criterion. The new optimization strategy features a multi- resolution approach in the phase-encode direction, separate successive one- dimensional searches for rotations and translations, and a novel method requiring only one re-gridding calculation for each rotation angle considered. Applicability to general rigid-body in-plane rotational and translational motion and to a range of differently weighted images and k- space trajectories is demonstrated. Motion artifact reduction is observed for data from a phantom, volunteers, and patients.

Original languageEnglish
Pages (from-to)163-170
Number of pages8
JournalMagnetic Resonance in Medicine
Issue number1
Publication statusPublished - 1999


  • Autofocus
  • Entropy
  • Motion correction
  • Post-processing

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology


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