Abstract
The goal of image registration is to find a transformation that aligns one image to another. In this paper we present a novel automatically image registration approach for images with structural distortions (e.g. a lesion within a human brain). The main idea is to define a suitable matching energy, which effectively measures the similarity between the images. The minimization of the matching energy is an ill-posed problem. Hence, we add a regularity energy borrowed from linear elasticity theory, which incorporates smoothness constraints into the displacement. The resulting energy functional is minimized by a Levenberg-Marquardt iteration-scheme. Finally, we give a two-dimensional example of these applications.
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Henn, S., Hömke, L., Witsch, K. (2004). Lesion Preserving Image Registration with Applications to Human Brains. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds) Pattern Recognition. DAGM 2004. Lecture Notes in Computer Science, vol 3175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28649-3_61
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DOI: https://doi.org/10.1007/978-3-540-28649-3_61
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