“Virtual Touch”: An Efficient Registration Method for Catheter Navigation in Left Atrium

  • Hua Zhong
  • Takeo Kanade
  • David Schwartzman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4190)


In this paper, we present a left atrium registration system which utilizes a 3D intra-cardiac ultrasound catheter for faster (more than 700 times) and higher quality surface registration point collection than current systems and eventually improves the registration accuracy and stability. With better registration our system can greatly improve the ablation catheter navigation system which is being used in many hospitals to guide left atrium endocardium ablation procedure.


Left Atrium Ultrasound Image Edge Pixel True Registration Canny Edge Detector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Verma, A., Marrouche, N.F., Natale, A.: Novel method to integrate three-dimensional computed tomographic images of left atrium with real-time electroanatomic mapping. Cardiovasc Electrophysiol. 26, 365–370 (2004)Google Scholar
  2. 2.
    Zhong, H., Kanade, T., Schwartzman, D.: Sensor guided ablation procedure for left atrium endocardium. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3750, pp. 1–8. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  3. 3.
    Besl, P.J., McKay, N.D.: A method for registration of 3-d shapes. IEEE Trans. Pattern Analysis and Machine Intelligence 14, 239–256 (1992)CrossRefGoogle Scholar
  4. 4.
    Schwartzman, D., Bazaz, R., Nosbisch, J.: Catheter ablation to suppress atrial fibrillation: Evolution of technique at a single center. Interventional Cardiac Electrophysiology 9, 295–300 (2003)CrossRefGoogle Scholar
  5. 5.
    Verma, A., Marrouche, N.F., Natale, A.: Pulmonary vein antrum isolation: Intracardiac echocardiography-guided technique. Cardiovasc Electrophyisol. 15, 1335–1340 (2004)CrossRefGoogle Scholar
  6. 6.
    Canny, F.J.: A computational approach to edge detection. IEEE Trans. Pattern Analysis and Machine Intelligence 13, 775–790 (1986)Google Scholar
  7. 7.
    Prager, R.W., Rohling, R.N., Gee, A.H., Berman, L.: Rapid calibration for 3-d freehand ultrasound. Ultrasound in Medicine and Biology 24(6), 855–869 (1998)CrossRefGoogle Scholar
  8. 8.
    Bilaniuk, N., Wong, G.S.K.: Speed of sound in pure water as a function of temperature. The Journal of the Acoustic Society of America 3, 1609–1612 (1993)CrossRefGoogle Scholar
  9. 9.
    Chetverikov, D., Stepanov, D.: Robust euclidean alignment of 3d point sets. In: First Hungarian Conference on Computer Graphics and Geometry, pp. 70–75 (2002)Google Scholar
  10. 10.
    Simon, D.A., Kanade, T.: Geometric constraint analysis and synthesis: methods for improving shape-based registration accuracy. In: Troccaz, J., Mösges, R., Grimson, W.E.L. (eds.) CVRMed-MRCAS 1997, CVRMed 1997, and MRCAS 1997. LNCS, vol. 1205, pp. 181–190. Springer, Heidelberg (1997)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hua Zhong
    • 1
  • Takeo Kanade
    • 1
  • David Schwartzman
    • 2
  1. 1.Computer Science DepartmentCarnegie Mellon UniversityUSA
  2. 2.University of Pittsburgh Medical CenterUSA

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