Fast Linear Elastic Matching Without Landmarks (original) (raw)

Abstract

Non-rigid matchers generally constrain estimated displacement fields in uniform intensity regions of medical data. Elastic models are popular regularizers since they are easy to understand and simulate, and their smoothness properties may be as likely as other constraints.

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References

  1. Y. Wang and L. H. Staib. Elastic model based non-rigid registration incorporating statistical shape information. In MICCAI 98, pages 1162–1173, Cambridge, MA, Oct. 1998.
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Author information

Authors and Affiliations

  1. MIT AI Laboratory, Cambridge, MA, 02139, USA
    Samson J. Timoner, W. Eric L. Grimson & William M. Wells III
  2. Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
    Ron Kikinis & William M. Wells III

Authors

  1. Samson J. Timoner
  2. W. Eric L. Grimson
  3. Ron Kikinis
  4. William M. Wells III

Editor information

Editors and Affiliations

  1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
    Wiro J. Niessen & Max A. Viergever &

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© 2001 Springer-Verlag Berlin Heidelberg

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Timoner, S.J., Grimson, W.E.L., Kikinis, R., Wells, W.M. (2001). Fast Linear Elastic Matching Without Landmarks. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_228

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