Abstract
We have developed an automatic model-based deformable registration method applicable to MR soft-tissue imaging. The registration algorithm uses a dynamic finite element (FE) continuum mechanics model of the tissue deformation to register its 3D preoperative images with intraoperative 1) 3D low-resolution or 2) 2D MR images. The registration is achieved through a filtering process that combines information from the deformation model and observation errors based on correlation ratio, mutual information or sum of square differences between images. Experimental results with a breast phantom show that the proposed method converges in few iterations in the presence of very large deformations, similar to those typically observed in breast biopsy applications. © 2011 Springer-Verlag.
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Marami, B., Sirouspour, S., & Capson, D. W. (2011). Model-based deformable registration of preoperative 3D to intraoperative low-resolution 3D and 2D sequences of MR images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6891 LNCS, pp. 460–467). https://doi.org/10.1007/978-3-642-23623-5_58
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