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Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

M. Baust, S. Demirci, N. Navab
Stent Graft Removal for Improving 2D-3D Registration
IEEE International Symposium on Biomedical Imaging (ISBI), Boston, MA, USA, June 28-July 1 2009. (bib)

Being performed under extensive radiation exposure, endovascular stent graft placements would greatly benefit from a reliable navigation solution. A successful implementation of such a system requires an accurate 2D-3D registration. Since the stent graft is only visible in the radiograph, registration algorithms can easily be attracted to wrong structures. In this paper, we address this problem by presenting a fast algorithm for removing the stent graft which meets real-time constraints. Based on Poisson editing, our method is easy to implement and extremely user-friendly as it requires neither parameter adjustment nor precise presegmentation. Moreover, we prove the significance of our algorithm by a realistic ground truth study.
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