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

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Bildverarbeitung für die Medizin 2019

Part of the book series: Informatik aktuell ((INFORMAT))

Zusammenfassung

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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Literatur

  1. Tacher V, Lin M, Desgranges P, et al. Image guidance for endovascular repair of complex aortic aneurysms: comparison of two-dimensional and three-dimensional angiography and image fusion. J Vasc Interv Radiol. 2013;24(11):1698-1706.

    Article  Google Scholar 

  2. Hoffmann M, Brost A, Jakob C, et al. Semi-automatic catheter reconstruction from two views. Proc MICCAI. 2012; p. 584-591.

    Google Scholar 

  3. Baert SAM, van de Kraats EB, van Walsum T, et al. Three-dimensional guidewire reconstruction from biplane image sequences for integrated display in 3-D vasculature. IEEE Trans Med Imaging. 2003;22(10):1252-1258.

    Article  Google Scholar 

  4. van Walsum T, Baert SAM, Niessen WJ. Guide wire reconstruction and visualization in 3DRA using monoplane fluoroscopic imaging. IEEE Trans Med Imaging. 2005;24(5):612-623.

    Google Scholar 

  5. Petković T, Homan R, Lončarić S. Real-time 3D position reconstruction of guidewire for monoplane X-ray. Comput Med Imaging Graph. 2014;38(3):211-223.

    Article  Google Scholar 

  6. Brückner M, Deinzer F, Denzler J. Temporal estimation of the 3d guide-wire position using 2d X-ray images. Proc MICCAI. 2009; p. 386-393.

    Google Scholar 

  7. Gindre J, Bel-Brunon A, Rochette M, et al. Patient-specific finite-element simulation of the insertion of guidewire during an EVAR procedure: guidewire position prediction validation on 28 cases. IEEE Trans Biomed Eng. 2017;64(5):1057-1066.

    Article  Google Scholar 

  8. Lessard S, Kauffmann C, Pfister M, et al. Automatic detection of selective arterial devices for advanced visualization during abdominal aortic aneurysm endovascular repair. Med Eng Phys. 2015;37(10):979-986.

    Article  Google Scholar 

  9. Breininger K, Würfl T, Kurzendorfer T, et al. Multiple device segmentation for fluoroscopic imaging using multi-task learning. Intravascular Imaging Comput Assist Stenting Large-Scale Annotat Biomed Data Expert Label Synth. 2018; p. 19-27.

    Google Scholar 

  10. Breininger K, Pfister M, Koutouzi G, et al. Estimation of femoral artery access location for anatomic deformation correction. Proc Conf Image-Guid Interv Fokus Neuroradiol. 2017; p. 23-24.

    Google Scholar 

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Correspondence to Katharina Breininger .

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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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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: Handels, H., Deserno, T., Maier, A., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2019. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-25326-4_37

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