Abstract
Image Registration is a central task to many medical image analysis applications. In this paper, we present a novel iterative algorithm composed of two main steps: a global affine image registration based on particle filter, and a local refinement obtained from a linear optical flow approximation. The key idea is to iteratively apply these simple and robust steps to efficiently solve complex non-rigid multimodal or unimodal image registrations. Finally, we present a set of evaluation experiments demonstrating the accuracy and applicability of the method to medical images.
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Arce-Santana, E., Campos-Delgado, D.U., Alba, A. (2010). A Non-rigid Multimodal Image Registration Method Based on Particle Filter and Optical Flow. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17289-2_4
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DOI: https://doi.org/10.1007/978-3-642-17289-2_4
Publisher Name: Springer, Berlin, Heidelberg
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