Interventional MRI scanners now allow neurosurgeons to make images through-out the course of surgery. While these machines are still relatively rare today, they are bound to become a key instrument in the operating theatres of major medical centers. The successful use of such machines requires close collaboration between surgeons and engineers. This presentation describes the problem of neurosurgical navigation and discusses some of its algorithmic challenges, such as the joint use of multiple imaging modalities (CT, MRI, PET, etc), image registration, field-artifact removal, multi-modality image segmentation, biomechanical models of the brain, finite-element models (FEM) for tracking tissue deformation, and a generalization of FEM, known as XFEM, to handle the cuts, retractions, and resections occuring during surgery. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Verly, J. G., Kavec, M., Vigneron, L. M., Phillips, C., Boman, R., Libertiaux, V., … Brotchi, J. (2006). Problems and challenges of image-guided neurosurgical navigation and intervention. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4263 LNCS, p. 35). Springer Verlag. https://doi.org/10.1007/11902140_4
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