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Publication Detail
Automatic compensation of motion artifacts in MRI
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Atkinson D, Hill DL, Stoyle PN, Summers PE, Clare S, Bowtell R, Keevil SF
  • Publication date:
  • Pagination:
    163, 170
  • Journal:
    Magnetic Resonance in Medicine
  • Volume:
  • Status:
  • Print ISSN:
  • Keywords:
    Algorithms, Artifacts, Brain, anatomy & histology, Comparative Study, Entropy, Humans, Infant, Magnetic Resonance Imaging, standards, Movement, Phantoms, Imaging, Non-U.S.Gov't, Shoulder, Signal Processing, Computer-Assisted
  • Addresses:
    Division of Radiological Sciences and Medical Engineering, The Guy's, King's and St. Thomas' School of Medicine, London, United Kingdom
  • Notes:
    DA - 19990413
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
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