Abstract
We study a landmark-based image registration technique that uses elastic model and boundary mapping. Emphasis is given to the reconstruction of heterogeneous material properties and the use of recovered object-specific information to facilitate the registration computation. Tikhonov functional is used to estimate elastic property from landmarks with measurement uncertainty. A preliminary study using a 2D synthetic object indicates that incorporation of actual material properties in the registration method can improve registration accuracy and reduce computational cost.
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© 2003 Springer-Verlag Berlin Heidelberg
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Zhang, Y., Goldgof, D.B., Sarkar, S. (2003). Towards Physically-Sound Registration Using Object-Specific Properties for Regularization. In: Gee, J.C., Maintz, J.B.A., Vannier, M.W. (eds) Biomedical Image Registration. WBIR 2003. Lecture Notes in Computer Science, vol 2717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39701-4_38
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DOI: https://doi.org/10.1007/978-3-540-39701-4_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20343-8
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