Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

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

  • Conference paper
  • First Online:
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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. R. L. Ehman and J. P. Felmlee: Adaptive Technique for High-Definition MR Imaging of Moving Structures. Radiology 173 (1989) pp. 225–263

    PubMed  Google Scholar 

  2. H. W. Korin, F. Farzaneh, R. C. Wright, and S. J. Riederer: Compensation for Effects of Linear Motion in MR Imaging. Magn. Reson. Med. 12 (1989) pp. 99–113

    PubMed  Google Scholar 

  3. K. Butts, A. de Crespigny, J. M. Pauly, and M. Moseley: Diffusion-Weighted Inter-leaved Echo-Planar Imaging with a Pair of Orthogonal Navigator Echoes. Magn. Reson. Med. 35 (1996) pp. 763–770

    PubMed  Google Scholar 

  4. H. W. Korin, J. P. Felmlee, S. J. Riederer, and R. L. Ehman: Spatial-Frequency-Tuned Markers and Adaptive Correction for Rotational Motion. Magn. Reson. Med. 33 (1995) pp. 663–669

    PubMed  Google Scholar 

  5. Z. W. Fu, Y. Wang, R. C. Grimm, P. J. Rossman, J. P. Felmlee, S. J. Riederer, and R. L. Ehman: Orbital Navigator Echoes for Motion Measurements in Magnetic-Resonance-Imaging. Magn. Reson. Med. 34 (1995) pp. 746–753

    PubMed  Google Scholar 

  6. G. H. Glover and J. M. Pauly: Projection Reconstruction Techniques for Reduction of Motion Effects in MRI. Magn. Reson. Med. 28 (1992) pp. 275–289

    PubMed  Google Scholar 

  7. R. A. Zoroofi, Y. Sato, S. Tamura, H. Naito, and L. Tang: An Improved Method for MRI Artifact Correction Due to Translational Motion in the Imaging Plane. IEEE Trans. Med. Imag. 14 (1995) pp. 471–479

    Google Scholar 

  8. R. Khadem and G. H. Glover: Self Navigation Correction for Motion in Spiral Scanning. Proc. Soc. Magn. Reson. (1994) pp. 346

    Google Scholar 

  9. M. L. Wood, M. J. Shivji, and P. L. Stanchev: Planar-Motion Correction Using k-space Data Acquired by Fourier MR Imaging. J. Magn. Reson. Imag. 5(1) (1995) pp. 57–64

    Google Scholar 

  10. B. Madore and R. M. Henkelman: A New Way of Averaging With Applications to MRI. Med. Phys. 23(1) (1996) pp. 109–113

    PubMed  Google Scholar 

  11. Q. S. Xiang, M. J. Bronskill, and R. M. Henkelman: Two-Point Interference Method for Suppression of Ghost Artifacts Due to Motion. J. Magn. Reson. Imag. 3 (1993) pp. 900–906

    Google Scholar 

  12. M. Hedley, H. Yan, and D. Rosenfeld: Motion Artifact Correction in MRI Using Generalized Projections. IEEE Trans. Med. Imag. 10(1) (1991) pp. 40–46

    Google Scholar 

  13. R. A. Zoroofi, Y. Sato, S. Tamura and H. Naito: MRI Artifact Cancellation Due to Rigid Motion in the Imaging Plane. IEEE Trans. Med. Imag. 15(6) (1996) pp. 768–784

    Google Scholar 

  14. R. P. Bocker, and S. A. Jones: ISAR Motion Compensation Using the Burst Derivative Measure as a Focal Quality Indicator. Int. J. Imaging Systems and Technol. 4 (1992) pp. 285–297

    Google Scholar 

  15. S. F. Gull, and G. J. Daniell: Image Reconstruction from incomplete and noisy data. Nature 272 (1978) pp. 686–690

    Google Scholar 

  16. R. T. Constable and R. M. Henkelman: Why MEM Does Not Work in MR Image Reconstruction. Magn. Reson. Med. 14 (1990) pp. 12–25

    PubMed  Google Scholar 

  17. S. R. Marschner and R. J. Lobb: An Evaluation of Reconstruction Filters for Volume Rendering. In: R. D. Bergeron and A. E. Kaufman. (eds.) Proc. Visualization '94. IEEE Computer Society Press, 1994, pp. 100–107

    Google Scholar 

  18. Y. Wang, R. C. Grimm, J. P. Felmlee, S. J. Riederer, and R. L. Ehman: Algorithms for Extracting Motion Information from Navigator Echoes. Magn. Reson. Med. 36 (1996) pp. 117–123

    PubMed  Google Scholar 

  19. D. C. Noll, J. M. Pauly, C. H. Meyer, D. G. Nishimura, and A. Macovski: Deblurring for Non-2D Fourier Transform Magnetic Resonance Imaging. Magn. Reson. Med. 25 (1992) pp. 319–333

    PubMed  Google Scholar 

  20. A. W. Anderson and J. C. Gore: Analysis and Correction of Motion Artifacts in Diffusion Weighted Imaging. Magn. Reson. Med. 32 (1994) pp. 379–387

    PubMed  Google Scholar 

  21. A. Buffington, F. S. Crawford, S. M. Pollaine, C. D. Orth, and R. A. Muller: Sharpening Stellar Images. Science 200 (1978) pp. 489–494

    Google Scholar 

  22. F. Berizzi, and G. Corsini: Autofocusing of Inverse Synthetic Aperture Radar Images Using Contrast Optimization. IEEE Trans. Aerospace and Elec. Systems 32(3) (1996) pp. 1185–1191

    Google Scholar 

Download references

Author information

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Derek L. G. Hill
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Peter N. R. Stoyle
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Paul E. Summers
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Stephen F. Keevil
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

James Duncan Gene Gindi

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63046-3

  • Online ISBN: 978-3-540-69070-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation