Abstract
In order to find the energy-minimizing surface and to reduce the computational requirements, we consider an associated simplified model, [1], and we derive an algorithm for solving numerically the corresponding Euler-Gauss-Ostrogradsky equation of Calculus of Variations. The stability and the convergence of the algorithm are discussed, together with some aspects regarding the statistical modeling, applied in medical imaging.
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© 2011 Springer-Verlag Berlin Heidelberg
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Mitrea, A.I., Gurzau, O.M., Mitrea, P. (2011). On the Stability and Convergence Rate of Some Discretized Schemes for Parametric Deformable Models Used in Medical Image Analysis. In: Vlad, S., Ciupa, R.V. (eds) International Conference on Advancements of Medicine and Health Care through Technology. IFMBE Proceedings, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22586-4_46
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DOI: https://doi.org/10.1007/978-3-642-22586-4_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22585-7
Online ISBN: 978-3-642-22586-4
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