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

THIS WEBPAGE IS DEPRECATED - please visit our new website

M. Feuerstein, K. Filippatos, O. Kutter, E.U. Schirmbeck, R. Bauernschmitt, N. Navab
A Novel Segmentation and Navigation Tool for Endovascular Stenting of Aortic Aneurysms
International Journal of Computer Assisted Radiology and Surgery, 2006; Vol. 1 Suppl. 1, page 280 - 282.
The original publication is available online at

Endovascular stenting is a minimally invasive technique to exclude an aortic aneurysm or dissection from the circulatory system. Currently, there is no technical aid to guide the surgical staff during the intervention, except the default visualization interface provided with the CT scanner and mobile C-arm. The purpose of our proposed system is two-fold: (1) In the planning phase, a modified graph cuts algorithm automatically segments the aorta and aneurysm, so the surgical staff can choose an appropriate type of stent to match the segmented location, length, and diameter of the aneurysm and aorta. (2) During implantation of the stent graft, after a landmark based registration of CT and angiography data, the current position of the stent can be visualized in the 3D CT data set at any time. This will enhance the accuracy of the actions of the surgeon, along with a minimum use of angiography, leading to less radiation exposure and less contrast agent injection.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Edit | Attach | Refresh | Diffs | More | Revision r1.13 - 30 Jan 2019 - 15:16 - LeslieCasas

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif