3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image

Breininger K, Hanika M, Weule M, Kowarschik M, Pfister M, Maier A (2019)


Publication Type: Conference contribution

Publication year: 2019

Journal

Publisher: Springer Berlin Heidelberg

Pages Range: 172-177

Conference Proceedings Title: Informatik aktuell

Event location: Lübeck DE

ISBN: 9783658253257

DOI: 10.1007/978-3-658-25326-4_37

Abstract

of preoperative data with intraoperative fluoroscopic images has been shown to reduce contrast agent, radiation dose and procedure time during endovascular repair of aortic aneurysms. However, the quality of the fusion may deteriorate due to often severe deformations of the vasculature caused by instruments such as stiff wires. To adapt the preoperative information intraoperatively to these deformations, the 3D positions of the inserted instruments are required. In this work, we propose a reconstruction method for stiff wires that requires only a single monoplane acquisition, keeping the impact on the clinical workflow to a minimum. To this end, the wire is segmented in the available X-ray image. To allow for a reconstruction in 3D, we then estimate a virtual second view of the wire orthogonal to the real projection based on vessel centerlines from a preoperative computed tomography. Using the real and estimated wire positions, we reconstruct the catheter using epipolar geometry. We achieve a mean modified Hausdorff distance of 4.1mm between the 3D reconstruction and the true wire course.

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How to cite

APA:

Breininger, K., Hanika, M., Weule, M., Kowarschik, M., Pfister, M., & Maier, A. (2019). 3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 172-177). Lübeck, DE: Springer Berlin Heidelberg.

MLA:

Breininger, Katharina, et al. "3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image." Proceedings of the Workshop on Bildverarbeitung fur die Medizin, 2019, Lübeck Ed. Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff, Springer Berlin Heidelberg, 2019. 172-177.

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