Hybrid non-rigid image registration using mutual information and the viscous fluid algorithm

Clinton Fookes, Mohammed Bennamoun · QUT ePrints (Queensland University of Technology) · 2002

Recently there has emerged a need to compute multimodal non-rigid registrations in a lot of clinical applications. To date, the viscous fluid algorithm is perhaps the most adept method at recovering large local mis-registrations that exist between two images. However, this model can only be used on images from the same modality as it assumes similar intensity values between images. This paper presents a solution to this problem by proposing a hybrid non-rigid registration using the viscous fluid algorithmand mutual information. The mutual information is incorporated via the use of a block matching procedure to generate a sparse deformation field which drives the viscous fluid algorithm. Although successful, the hybrid approach suffers from interpolation artifacts which prevent sub-voxel deformations and limit the accuracy of the algorithm.

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