A non-rigid multimodal image registration method based on particle filter and optical flow

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.

Evaluation experiments; Iterative algorithm; Linear optical; Local refinement; Medical image analysis; Medical images; Multi-modal; Multimodal image registration; Non-rigid; Particle filter; Evaluation experiments; Iterative algorithm; Linear optical; Local refinement; Multi-modal; Multimodal image registration; Non-rigid; Particle filter; Approximation algorithms; Iterative methods; Medical imaging; Nonlinear filtering; Optical flows; Approximation algorithms; Bandpass filters; Iterative methods; Medical imaging; Monte Carlo methods; Optical flows; Image registration; Image registration

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