Table of Contents Author Guidelines Submit a Manuscript
Journal of Biomedicine and Biotechnology
Volume 2008, Article ID 681303, 8 pages
http://dx.doi.org/10.1155/2008/681303
Research Article

Multimodal Data Integration for Computer-Aided Ablation of Atrial Fibrillation

1Department of Electrical Engineering, University of Southern California, Los Angeles 90089-2564, CA, USA
2School of Computer Science and Engineering, Chung-Ang University, Seoul 156-756, Korea
3Electrical and Computer Engineering Department, San Diego State University, San Diego 92182, CA, USA
4School of Medicine and Dental Sciences, State University of New York at Buffalo, Buffalo 14214, NY, USA

Received 30 August 2007; Accepted 17 December 2007

Academic Editor: Daniel Howard

Copyright © 2008 Jonghye Woo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. P. Zipes and H. J. J. Wellens, “What have we learned about cardiac arrhythmias?,” Circulation, vol. 102, no. 4, pp. 52–57, 2000.
  2. I. B. Ray and E. Heist, “Treating atrial fibrillation: what is the consensus now?,” Postgraduate Medicine, vol. 118, no. 4, pp. 47–58, 2005.
  3. C. Pappone, S. Rosanio, and G. Oreto et al., “Circumferential radiofrequency ablation of pulmonary vein ostia: a new anatomic approach for curing atrial fibrillation,” Circulation, vol. 102, no. 21, pp. 2619–2628, 2000.
  4. J. Dong, H. Calkins, and S. B. Solomon et al., “Integrated electroanatomic mapping with three-dimensional computed tomographic images for real-time guided ablations,” Circulation, vol. 113, no. 2, pp. 186–194, 2006. View at Publisher · View at Google Scholar · View at PubMed
  5. V. Y. Reddy, Z. J. Malchano, and G. Holmvang et al., “Integration of cardiac magnetic resonance imaging with three-dimensional electroanatomic mapping to guide left ventricular catheter manipulation: feasibility in a porcine model of healed myocardial infarction,” Journal of the American College of Cardiology, vol. 44, no. 11, pp. 2202–2213, 2004. View at Publisher · View at Google Scholar · View at PubMed
  6. Z. Malchano, “Image guidance in cardiac electrophysiology,” Massachusette Institute of Technology, Boston, Mass, USA, June 2006.
  7. P. J. Besl and H. D. McKay, “A method for registration of 3-D shapes,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, no. 2, pp. 239–256, 1992. View at Publisher · View at Google Scholar
  8. S. Rusinkiewicz and M. Levoy, “Efficient variants of the ICP algorithm,” in Proceedings of the 3rd International Conference on 3D Digital Imaging and Modeling (3DIM '01), pp. 145–152, Quebec, Canada, May-June 2001.
  9. D. Chetverikov, D. Svirko, D. Stepanov, and P. Krsek, “The trimmed iterative closest point algorithm,” in Proceedings of the 16th International Conference on Pattern Recognition (ICPR '02), vol. 3, pp. 545–548, Quebec, Canada, August 2002. View at Publisher · View at Google Scholar
  10. T. Masuda, K. Sakaue, and N. Yokoya, “Registration and integration of multiple range images for 3-d model construction,” in Proceedings of the 13th International Conference on Pattern Recognition (ICPR '96), pp. 879–883, Vienna, Austria, August 1996.
  11. K. Pulli, “Multiview registration for large data sets,” in Proceedings of the 2nd International Conference on 3D Digital Imaging and Modeling (3DIM '99), pp. 160–168, Ottawa, Canada, October 1999.
  12. E. K. Heist, J. Chevalier, and G. Holmvang et al., “Factors affecting error in integration of electroanatomic mapping with CT and MR imaging during catheter ablation of atrial fibrillation,” Journal of Interventional Cardiac Electrophysiology, vol. 17, no. 1, pp. 21–27, 2006. View at Publisher · View at Google Scholar · View at PubMed
  13. J. Woo, B.-W Hong, S. Kumar, I. B. Ray, and C.-C J. Kuo, “Joint reconstruction and registration using level sets: application to the computer-aided ablation of atrial fibrillation,” in Proceedings of International Conference Frontiers in the Convergence of Bioscience and Information Technologies, Jeju, Korea, October 2007.
  14. G. C.-H. Chuang and C.-C. J. Kuo, “Wavelet descriptor of planar curves: theory and applications,” IEEE Transactions on Image Processing, vol. 5, no. 1, pp. 56–70, 1996. View at Publisher · View at Google Scholar · View at PubMed
  15. D. Rogers, An Introduction to NURBS: With Historic Perspective, Morgan Kaufmann Publishers, San Francisco, Calif, USA, 2001.
  16. N. Amenta and M. Bern, “Surface reconstruction by Voronoi filtering,” Discrete and Computational Geometry, vol. 22, no. 4, pp. 481–504, 1999. View at Publisher · View at Google Scholar · View at MathSciNet
  17. H. Edelsbrunner, “Shape reconstruction with delaunay complex,” in Proceedings of the 3rd Latin American Symposium on Theoretical Informatics (LATIN '98), pp. 119–132, Springer, Campinas, Brazil, April 1998.
  18. A. Dervieux and F. Thomasset, A Finite Element Method for the Simulation of a Rayleigh-Taylor Instability, vol. 771 of Lecture Notes in Mathematics, Springer, Berlin, Germany, 1979.
  19. A. Dervieux and F. Thomasset, “Multifluid incompressible flows by a finite element method,” in Seventh International Conference on Numerical Methods in Fluid Dynamics, W. Reynolds and R. MacCormack, Eds., vol. 141 of Lecture Notes in Physics, pp. 158–163, Springer, Berlin, Germany, 1980.
  20. S. Osher and J. A. Sethian, “Fronts propagating with curvature dependent speed: algorithms based on the Hamilton-Jacobi formulation,” Journal of Computational Physics, vol. 79, no. 1, pp. 12–49, 1988. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  21. H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, and W. Stuetzle, “Surface reconstruction from unorganized points,” Computer Graphics, vol. 26, no. 2, pp. 71–78, 1992. View at Publisher · View at Google Scholar
  22. H.-K. Zhao, S. Osher, and R. Fedkiw, “Fast surface reconstruction using the level set method,” in Proceedings of the 1st IEEE Workshop on Variational and Level Set Methods, The 8th IEEE International Conference on Computer Vision, pp. 194–202, Vancouver, BC, Canada, July 2001. View at Publisher · View at Google Scholar
  23. J. Sethian, Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Cambridge University Press, Cambridge, UK, 1998.
  24. T. F. Chan and L. A. Vese, “Active contours without edges,” IEEE Transactions on Image Processing, vol. 10, no. 2, pp. 266–277, 2001. View at Publisher · View at Google Scholar · View at PubMed · View at Zentralblatt MATH
  25. H.-K. Zhao, T. Chan, B. Merriman, and S. Osher, “A variational level set approach to multiphase motion,” Journal of Computational Physics, vol. 127, no. 1, pp. 179–195, 1996. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  26. P. A. Yushkevich, J. Piven, H. Cody, S. Ho, J. C. Gee, and G. Gerig, “User-guided level set segmentation of anatomical structures with ITK-SNAP,” Insight Jounral, vol. 1, 2005, special issue on ISC/NA-MIC/MICCAI Workshop on Open-Source Software.