Abstract
In this paper we present a novel and fully automated approach for the estimation of non-rigid cardiac motion and deformation from sequences of three dimensional medical images. Our approach extends the robust point matching (RPM) algorithm to include shape-based information as inspired by our own previous work in this area. The resulting algorithm labeled as generalized robust point matching (G-RPM) is capable of accurately estimating left ventricular motion without the need of a prior, and often time-consuming, segmentation of the myocardium. We evaluate our approach on both synthetic data as well as using sequences of in-vivo cardiac magnetic resonance images. The approach can easily be adjusted for a number of applications to find the optimal non-rigid transformation.
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Lin, N., Papademetris, X., Sinusas, A.J., Duncan, J.S. (2003). Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm. 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 2878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39899-8_69
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DOI: https://doi.org/10.1007/978-3-540-39899-8_69
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