Parallelization for a Non-Rigid Registration using Elastic Model, Finite Element Method and Mutual Information

F.T. Andriamanampisoa, J.P. Jessel (France), and S. Rakotondraompiana (Madagascar)


Registration, finite element method, mutual information, medical imaging, processing, parallelism.


The aim is to parallelize an approach for non-rigid registration. We have led a survey on a new approach in non rigid registration using elastic model, finite element method and mutual information and we have had good results. Using a deformation algorithm, based on the isotropic linear elastic material model, one can get a good non-rigid registration result. This model allows to get image regularization characteristics. However, the Mattes et al. mutual information [1] is reputed to do a multimodal registration. Besides, one can use it for a registration with images from the same modality but in low resolutions, such as the Positron Emission Tomography (PET). This approach concerns a process with a fully automatic registration. However one can note that registration requires a too much important calculation time and high occupancy spaces especially with 3D images. Thus, the parallelization is required. So, this paper deals the transformation of the registration algorithm in a parallel environment. We have worked with Single Program Multiple Data model on Distributed Memory (SPMD DM) architecture.

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