Advanced 2D-3D registration for endovascular aortic interventions: addressing dissimilarity in images

Stefanie Demirci; Oliver Kutter; Frode Manstad-Hulaas M.D.; Robert Bauernschmitt M.D.; Nassir Navab

doi:10.1117/12.769835

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17 March 2008 Advanced 2D-3D registration for endovascular aortic interventions: addressing dissimilarity in images

Stefanie Demirci, Oliver Kutter, Frode Manstad-Hulaas M.D., Robert Bauernschmitt M.D., Nassir Navab

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Proceedings Volume 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling; 69182S (2008) https://doi.org/10.1117/12.769835
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

In the current clinical workflow of minimally invasive aortic procedures navigation tasks are performed under 2D or 3D angiographic imaging. Many solutions for navigation enhancement suggest an integration of the preoperatively acquired computed tomography angiography (CTA) in order to provide the physician with more image information and reduce contrast injection and radiation exposure. This requires exact registration algorithms that align the CTA volume to the intraoperative 2D or 3D images. Additional to the real-time constraint, the registration accuracy should be independent of image dissimilarities due to varying presence of medical instruments and contrast agent. In this paper, we propose efficient solutions for image-based 2D-3D and 3D-3D registration that reduce the dissimilarities by image preprocessing, e.g. implicit detection and segmentation, and adaptive weights introduced into the registration procedure. Experiments and evaluations are conducted on real patient data.

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Stefanie Demirci, Oliver Kutter, Frode Manstad-Hulaas M.D., Robert Bauernschmitt M.D., and Nassir Navab "Advanced 2D-3D registration for endovascular aortic interventions: addressing dissimilarity in images", Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69182S (17 March 2008); https://doi.org/10.1117/12.769835

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