Abstract
The alignment of pre-operative 3D scans with intra-operative 2D images is important for providing better image guidance. Specifically, overlaying the 3D centerlines of coronary arteries on top of X-ray angiography images reduces the uncertainty inherent in 2D images used during cardiovascular interventions. Because of the dynamic cardiovascular motion from the heartbeat and respiration, a non-rigid registration approach should be applied in contrast registration of the static vascular structure. In this paper, a modified TPS-RPM method is adopted as a non-rigid registration based on a feature-based approach. The proposed method is evaluated on 12 clinical datasets to highlight the necessity of a non-rigid registration approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Peters, T., Cleary, K. (eds.): Image-Guided Interventions: Technology and Applications. Springer Science+Business Media, New York (2008)
Peters, T.M.: Image-guidance for surgical procedures. Phys. Med. Biol. 51, R505–R540 (2006)
Turgeon, G.A., Lehmann, G., Guiraudon, G., Drangova, M., Holdsworth, D., Peters, T.: 2D-3D registration of coronary angiograms for cardiac procedure planning and guidance. Med. Phys. 32, 3737–3749 (2005)
Metz, C., Schaap, M., Klein, S., Weustink, A.C., Mollet, N., Schultz, C., van Geuns, R.J., Serruys, P.W., van Walsum, T., Niessen, W.J.: GPU accelerated alignment of 3-D CTA with 2-D X-ray data for improved guidance in coronary interventions. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp. 959–962. IEEE (2009)
Ruijters, D., ter Haar Romeny, B.M., Suetens, P.: Vesselness-based 2D–3D registration of the coronary arteries. International Journal of Computer Assisted Radiology and Surgery 4, 391–397 (2009)
Figl, M., Rueckert, D., Hawkes, D., Casula, R., Hu, M., Pedro, O., Zhang, D.P., Penney, G., Bello, F., Edwards, P.: Image guidance for robotic minimally invasive coronary artery bypass. Computerized Medical Imaging and Graphics 34, 61–68 (2010)
Metz, C.T., et al.: Patient specific 4D coronary models from ECG-gated CTA data for intra-operative dynamic alignment of CTA with X-ray images. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009, Part I. LNCS, vol. 5761, pp. 369–376. Springer, Heidelberg (2009)
Metz, C., et al.: Alignment of 4D coronary CTA with monoplane X-ray angiography. In: Linte, C.A., Moore, J.T., Chen, E.C.S., Holmes III, D.R. (eds.) AE-CAI 2011. LNCS, vol. 7264, pp. 106–116. Springer, Heidelberg (2012)
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)
Rivest-Henault, D., Sundar, H., Cheriet, M.: Nonrigid 2D/3D registration of coronary artery models with live fluoroscopy for guidance of cardiac interventions. IEEE Transactions on Medical Imaging 31, 1557–1572 (2012)
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)
Groher, M., Zikic, D., Navab, N.: Deformable 2D-3D Registration of Vascular Structures in a One View Scenario. IEEE Transactions on Medical Imaging 28, 847–860 (2009)
Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)
Lorensen, W.E., Cline, H.E.: Marching cubes: A high resolution 3D surface construction algorithm. In: ACM Siggraph Computer Graphics, pp. 163–169. ACM (1987)
Chui, H.L., Rangarajan, A.: A new point matching algorithm for non-rigid registration. Comput. Vis. Image Und. 89, 114–141 (2003)
Yang, J.Z.: The thin plate spline robust point matching (TPS-RPM) algorithm: A revisit. Pattern Recogn. Lett. 32, 910–918 (2011)
Sundar, H., Khamene, A., Xu, C., Sauer, F., Davatzikos, C.: A novel 2D-3D registration algorithm for aligning fluoro images with 3D pre-op CT/MR images. In: Medical Imaging, pp. 61412K-61412K-61417. International Society for Optics and Photonics (2006)
Rangarajan, A., Chui, H., Bookstein, F.: The softassign Procrustes matching algorithm. In: Duncan, J.S., Gindi, G. (eds.) IPMI 1997. LNCS, vol. 1230, pp. 29–42. Springer, Heidelberg (1997)
Yuille, A.L., Kosowsky, J.: Statistical physics algorithms that converge. Neural Computation 6, 341–356 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Kim, HR., Kang, MS., Kim, MH. (2014). Non-rigid Registration of Vascular Structures for Aligning 2D X-ray Angiography with 3D CT Angiography. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8887. Springer, Cham. https://doi.org/10.1007/978-3-319-14249-4_50
Download citation
DOI: https://doi.org/10.1007/978-3-319-14249-4_50
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14248-7
Online ISBN: 978-3-319-14249-4
eBook Packages: Computer ScienceComputer Science (R0)