Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/12558
Title: Curve matching with applications in medical imaging
Authors: Bauer, M
Bruveris, M
Harms, P
Møller-Andersen, J
Keywords: Curve matching;Sobolev metrics;Riemannian shape analysis;Discrete geodesics;Minimizing geodesics
Issue Date: 2015
Citation: Mathematics Subject Classi cation, pp.83-94, (2015)
Abstract: In the recent years, Riemannian shape analysis of curves and surfaces has found several applications in medical image analysis. In this paper we present a numerical discretization of second order Sobolev metrics on the space of regular curves in Euclidean space. This class of metrics has several desirable mathematical properties. We propose numerical solutions for the initial and boundary value problems of finding geodesics. These two methods are combined in a Riemannian gradient-based optimization scheme to compute the Karcher mean. We apply this to a study of the shape variation in HeLa cell nuclei and cycles of cardiac deformations, by computing means and principal modes of variations.
URI: http://orbit.dtu.dk/en/publications/curve-matching-with-applications-in-medical-imaging(cd13dc31-4a7f-4e4d-b17d-94fdecb4a34e).html
http://bura.brunel.ac.uk/handle/2438/12558
Appears in Collections:Dept of Mathematics Research Papers

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