3D Coronary Vessel Tracking in X-Ray Projections

  • Emmanuelle PoulainEmail author
  • Grégoire Malandain
  • Régis Vaillant
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10263)


Fusing pre-operative CT angiography with per-operative angiographic and fluoroscopic images is considered by physicians as a potentially useful tool for improved guidance. To be adopted, this tool requires the development of tracking methods adapted to the deformations of the arteries caused by the cardiac motion. Here, we propose a 3D/2D temporal tracking of one coronary vessel, based on a spline deformation, using pairings with a controlled 2D stretching or contraction along the paired curves and a preservation of the length of the 3D curve. Experiments were conducted on a database of 10 vessels from 5 distinct patients, with dedicated metrics assessing both the global registration and the local coherency of the position along the vessel. The proposed results demonstrate the efficiency of the proposed method, with an average standard deviation of 2 mm for the localization of landmarks.


Deformable registration Tracking Coronary arteries X-ray Computed tomography angiography CTA 


  1. 1.
    Aksoy, T., Unal, G., Demirci, S., Navab, N., Degertekin, M.: Template-based CTA to x-ray angio rigid registration of coronary arteries in frequency domain with automatic x-ray segmentation. Med. Phys. 40(10), 1903–1918 (2013)CrossRefGoogle Scholar
  2. 2.
    Baka, N., Metz, C.T., Schultz, C., Neefjes, L., van Geuns, R.J., Lelieveldt, B.P.F., Niessen, W.J., van Walsum, T., de Bruijne, M.: Statistical coronary motion models for 2D+ t/3D registration of x-ray coronary angiography and CTA. Med. Image Anal. 17(6), 698–709 (2013)CrossRefGoogle Scholar
  3. 3.
    Benseghir, T., Malandain, G., Vaillant, R.: A tree-topology preserving pairing for 3D/2D registration. Int. J. Comput. Assist. Radiol. Surg. 10(6), 913–923 (2015)CrossRefGoogle Scholar
  4. 4.
    Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A., Delp, S. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998). doi: 10.1007/BFb0056195 CrossRefGoogle Scholar
  5. 5.
    Gatta, C., Balocco, S., Martin-Yuste, V., Leta, R., Radeva, P.: Non-rigid multi-modal registration of coronary arteries using SIFTflow. In: Vitrià, J., Sanches, J.M., Hernández, M. (eds.) IbPRIA 2011. LNCS, vol. 6669, pp. 159–166. Springer, Heidelberg (2011). doi: 10.1007/978-3-642-21257-4_20 CrossRefGoogle Scholar
  6. 6.
    Groher, M., Zikic, D., Navab, N.: Deformable 2D–3D registration of vascular structures in a one view scenario. IEEE Trans. Med. Imaging 28(6), 847–860 (2009)CrossRefGoogle Scholar
  7. 7.
    Heibel, T.H., Glocker, B., Groher, M., Paragios, N., Komodakis, N., Navab, N.: Discrete tracking of parametrized curves. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, pp. 1754–1761. IEEE (2009)Google Scholar
  8. 8.
    Piegl, L., Tiller, W.: The NURBS Book. Springer, Heidelberg (2012)zbMATHGoogle Scholar
  9. 9.
    Ruijters, D., ter Haar Romeny, B.M., Suetens, P.: Vesselness-based 2D–3D registration of the coronary arteries. Int. J. Comput. Assist. Radiol. Surg. 4(4), 391–397 (2009)CrossRefGoogle Scholar
  10. 10.
    Serradell, E., Romero, A., Leta, R., Gatta, C., Moreno-Noguer, F.: Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single x-ray images. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 850–857. IEEE (2011)Google Scholar
  11. 11.
    Shechter, G., Devernay, F., Coste-Maniere, E., McVeigh, E.R.: Temporal tracking of 3D coronary arteries in projection angiograms. In: Medical Imaging 2002, pp. 612–623. International Society for Optics and Photonics (2002)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Emmanuelle Poulain
    • 1
    • 2
    Email author
  • Grégoire Malandain
    • 2
  • Régis Vaillant
    • 1
  1. 1.GE HealthcareBucFrance
  2. 2.Université Côte d’Azur, Inria, CNRS, I3SSophia AntipolisFrance

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