Motion Estimation Model for Cardiac and Respiratory Motion Compensation

  • Sebastian Kaeppler
  • Alexander Brost
  • Martin Koch
  • Wen Wu
  • Felix Bourier
  • Terrence Chen
  • Klaus Kurzidim
  • Joachim Hornegger
  • Norbert Strobel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7330)

Abstract

Catheter ablation is widely accepted as the best remaining option for the treatment of atrial fibrillation if drug therapy fails. Ablation procedures can be guided by 3-D overlay images projected onto live fluoroscopic X-ray images. These overlay images are generated from either MR, CT or C-Arm CT volumes. As the alignment of the overlay is often compromised by cardiac and respiratory motion, motion compensation methods are desirable. The most recent and promising approaches use either a catheter in the coronary sinus vein, or a circumferential mapping catheter placed at the ostium of one of the pulmonary veins. As both methods suffer from different problems, we propose a novel method to achieve motion compensation for fluoroscopy guided cardiac ablation procedures. Our new method localizes the coronary sinus catheter. Based on this information, we estimate the position of the circumferential mapping catheter. As the mapping catheter is placed at the site of ablation, it provides a good surrogate for respiratory and cardiac motion. To correlate the motion of both catheters, our method includes a training phase in which both catheters are tracked together. The training information is then used to estimate the cardiac and respiratory motion of the left atrium by observing the coronary sinus catheter only. The approach yields an average 2-D estimation error of 1.99 ± 1.20 mm.

Keywords

Pulmonary Vein Left Atrium Respiratory Motion Ablation Procedure Motion Compensation 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Wolf, P., Abbott, R., Kannel, W.: Atrial fibrillation as an independent risk factor for stroke: the framingham study. Stroke 22, 983–988 (1991)CrossRefGoogle Scholar
  2. 2.
    Cappato, R., Calkins, H., Chen, S.A., Davies, W., Iesaka, Y., Kalman, J., Kim, Y.H., Klein, G., Packer, D., Skanes, A.: Worldwide survey on the methods, efficacy, and safety of catheter ablation for human atrial fibrillation. Circulation 111, 1100–1105 (2005)CrossRefGoogle Scholar
  3. 3.
    Prümmer, M., Hornegger, J., Lauritsch, G., Wigström, L., Girard-Hughes, E., Fahrig, R.: Cardiac C-arm CT: a unified framework for motion estimation and dynamic CT. IEEE Transact. Med. Imaging 28(11), 1836–1849 (2009)CrossRefGoogle Scholar
  4. 4.
    Strobel, N., Meissner, O., Boese, J., Brunner, T., Heigl, B., Hoheisel, M., Lauritsch, G., Nagel, M., Pfister, M., Rührnschopf, E.-P., Scholz, B., Schreiber, B., Spahn, M., Zellerhoff, M., Klingenbeck-Regn, K.: Imaging with Flat-Detector C-Arm Systems. In: Reiser, M.F., Becker, C.R., Nikolaou, K., Glazer, G. (eds.) Multislice CT (Medical Radiology / Diagnostic Imaging), 3rd edn., pp. 33–51. Springer, Heidelberg (2009)Google Scholar
  5. 5.
    De Buck, S., Maes, F., Ector, J., Bogaert, J., Dymarkowski, S., Heidbüchel, H., Suetens, P.: An Augmented Reality System for Patient-Specific Guidance of Cardiac Catheter Ablation Procedures. IEEE Transact. Med. Imaging 24(11), 1512–1524 (2005)CrossRefGoogle Scholar
  6. 6.
    Ma, Y., King, A.P., Gogin, N., Rinaldi, C.A., Gill, J., Razavi, R., Rhode, K.S.: Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6361, pp. 391–399. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  7. 7.
    Brost, A., Wu, W., Koch, M., Wimmer, A., Chen, T., Liao, R., Hornegger, J., Strobel, N.: Combined Cardiac and Respiratory Motion Compensation for Atrial Fibrillation Ablation Procedures. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part I. LNCS, vol. 6891, pp. 540–547. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  8. 8.
    Klemm, H., Steven, D., Johnsen, C., Ventura, R., Rostock, T., Lutomsky, B., Risius, T., Meinertz, T., Willems, S.: Catheter motion during atrial ablation due to the beating heart and respiration: impact on accuracy and spatial referencing in three-dimensional mapping. Heart Rhythm 4(5), 587–592 (2007)CrossRefGoogle Scholar
  9. 9.
    McLeish, K., Hill, D., Atkinson, D., Blackall, J., Razavi, R.: A study of the motion and deformation of the heart due to respiration. IEEE Transact. Med. Imaging 21(9), 1142–1150 (2002)CrossRefGoogle Scholar
  10. 10.
    Wu, W., Chen, T., Barbu, A., Wang, P., Strobel, N., Zhou, S., Comaniciu, D.: Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 1097–1104 (2011)Google Scholar
  11. 11.
    Shechter, G., Ozturk, C., Resar, J., McVeigh, E.: Respiratory motion of the heart from free breathing coronary angiograms. IEEE Transact. Med. Imaging 23(8), 1046–1056 (2004)CrossRefGoogle Scholar
  12. 12.
    Ma, Y., King, A., Gogin, N., Gijsbers, G., Rinaldi, C., Gill, J., Razavi, R., Rhode, K.: Clinical evaluation of respiratory motion compensation for anatomical roadmap guided cardiac electrophysiology procedures. IEEE Transact. Biomed. Engineering (2011); Epub ahead of printGoogle Scholar
  13. 13.
    Brost, A., Liao, R., Hornegger, J., Strobel, N.: Model-based registration for motion compensation during EP ablation procedures. In: Fischer, B., Dawant, B., Lorenz, C. (eds.) WBIR 2010. LNCS, vol. 6204, pp. 234–245. Springer, Heidelberg (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sebastian Kaeppler
    • 1
  • Alexander Brost
    • 1
  • Martin Koch
    • 1
  • Wen Wu
    • 2
  • Felix Bourier
    • 3
  • Terrence Chen
    • 2
  • Klaus Kurzidim
    • 3
  • Joachim Hornegger
    • 1
  • Norbert Strobel
    • 4
  1. 1.Pattern Recognition LabFriedrich-Alexander-University Erlangen-NurembergErlangenGermany
  2. 2.Corporate Research and TechnologySiemens CorporationUSA
  3. 3.Klinik für Herzrhythmusstörungen, Krankenhaus Barmherzige BrüderRegensburgGermany
  4. 4.Healthcare SectorSiemens AGForchheimGermany

Personalised recommendations