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. © 2010 Springer-Verlag.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6453 LNCS, pp. 35–44). https://doi.org/10.1007/978-3-642-17289-2_4
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