Abstract
We introduce an elastic registration approach based on point landmarks and elastic body splines (EBS). Since EBS are derived from the physics of elastic objects this approach allows to approximate the deformations of human tissue. In this contribution we introduce a new family of EBS using Gaussian forces. In comparison to earlier work these forces are physically more realistic and they allow us to to derive a transformation that is well-suited to cope with local as well as global differences in medical images. We demonstrate the advantages of the new family of EBS using synthetic as well as real tomographic images.
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References
K. Rohr, “Elastic Registration of Multimodal Medical Images: A Survey”, KI — Kunstliche Intelligenz 3/00 (Juli 2000) 11–17
M.H. Davis, A. Khotanzad, D.P. Flamig, and S.E. Harms, “A Physics—Based Coordinate Transformation for 3-D Image Matching”, IEEE Transactions on Medical Imaging 16(3):317–328, 1997
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© 2001 Springer-Verlag Berlin Heidelberg
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Kohlrausch, J., Rohr, K., Stiehl, S. (2001). A New Class of Elastic Body Splines for Nonrigid Registration of Medical Images. In: Handels, H., Horsch, A., Lehmann, T., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2001. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56714-8_29
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DOI: https://doi.org/10.1007/978-3-642-56714-8_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41690-6
Online ISBN: 978-3-642-56714-8
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