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Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

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Document pages: 11 pages

Abstract: Deep learning-based methods have recently demonstrated promising results indeformable image registration for a wide range of medical image analysis tasks.However, existing deep learning-based methods are usually limited to smalldeformation settings, and desirable properties of the transformation includingbijective mapping and topology preservation are often being ignored by theseapproaches. In this paper, we propose a deep Laplacian Pyramid ImageRegistration Network, which can solve the image registration optimizationproblem in a coarse-to-fine fashion within the space of diffeomorphic maps.Extensive quantitative and qualitative evaluations on two MR brain scandatasets show that our method outperforms the existing methods by a significantmargin while maintaining desirable diffeomorphic properties and promisingregistration speed.

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