Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps (original) (raw)

Abstract

In this paper, we present a novel and computationally efficient multimodal image registration scheme that is capable of handling non-rigidly misaligned multi-modal data sets.T he algorithm is based on a level-set based image registration algorithm applied to local frequency representations of the input images.T he algorithm has been tested on several data sets and we present one of these examples.

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References

  1. B. C. Vemuri et.al., [2000], “A Level-set based approach to image registration,” IEEE Workshop on MMBIA, June 10–12, Hilton Head, SC, pp.86–93.
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  2. B. C. Vemuri, J.L iu, J.L. Marroquin, [2001], “Robust Multimodal Image Registration using Local Frequency Representation,” IPMI’01, June 18–22, Davis, CA, pp. 176–182.
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Authors and Affiliations

  1. Department of Computer and Information Science and Engineering, University of Florida, Florida, USA
    B. C. Vemuri & J. Liu

Authors

  1. B. C. Vemuri
  2. J. Liu

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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Vemuri, B.C., Liu, J. (2001). Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps. 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\_230

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