An autofocus algorithm for the automatic correction of motion artifacts in MR images

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present the use of an entropy focus criterion to enable automatic focussing of motion corrupted magnetic resonance images. Our technique can determine unknown patient motion or use knowledge of motion from other measures as a starting estimate. The motion estimate is used to compensate the acquired data and is iteratively refined using the image entropy. Our entropy criterion focuses the whole image principally by favoring the removal of motion induced ghosts and blurring from otherwise dark regions of the image. Using only the image data, and no special hardware or pulse sequences, we demonstrate correction for arbitrary rigid-body translational motion in the imaging plane and for a single rotation. Extension to 3D and more general motion should be possible.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages341-354
Number of pages14
Volume1230
ISBN (Print)3540630465, 9783540630463
Publication statusPublished - 1997
Event15th International Conference on Information Processing in Medical Imaging, IPMI 1997 - Poultney, United States
Duration: Jun 9 1997Jun 13 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1230
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Conference on Information Processing in Medical Imaging, IPMI 1997
CountryUnited States
CityPoultney
Period6/9/976/13/97

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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