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

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Information Processing in Medical Imaging (IPMI 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1230))

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.

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Authors and Affiliations

  1. UMDS, Radiological Sciences, Guy's Hospital, SE1 9RT, London, UK

    David Atkinson, Derek L. G. Hill, Paul E. Summers & Stephen F. Keevil

  2. Defence Research Agency, St. Andrew's Road, WR14 3PS, Great Malvern, UK

    Peter N. R. Stoyle

Authors
  1. David Atkinson
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  2. Derek L. G. Hill
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  3. Peter N. R. Stoyle
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  4. Paul E. Summers
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  5. Stephen F. Keevil
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James Duncan Gene Gindi

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© 1997 Springer-Verlag Berlin Heidelberg

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Atkinson, D., Hill, D.L.G., Stoyle, P.N.R., Summers, P.E., Keevil, S.F. (1997). An autofocus algorithm for the automatic correction of motion artifacts in MR images. In: Duncan, J., Gindi, G. (eds) Information Processing in Medical Imaging. IPMI 1997. Lecture Notes in Computer Science, vol 1230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63046-5_26

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  • DOI: https://doi.org/10.1007/3-540-63046-5_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63046-3

  • Online ISBN: 978-3-540-69070-2

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