Abstract
Non-rigid registration of landmarked datasets is an important problem that finds many applications in medical image analysis. In this paper, we present a method for interpolating a sequence of landmarks. The sequence of landmarks may be a model of growth, where anatomical object boundaries are parametrized by landmarks and the growth processes generate a landmarked sequence in time. In a variational optimization framework, the matching diffeomorphism for this problem is generated from a gradient algorithm based on the Euler-Lagrange equation of a cost framed in the inexact matching setting.
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Beg, M.F., Miller, M., Trouvé, A., Younes, L. (2003). The Euler-Lagrange Equation for Interpolating Sequence of Landmark Datasets. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_112
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DOI: https://doi.org/10.1007/978-3-540-39903-2_112
Publisher Name: Springer, Berlin, Heidelberg
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