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.
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
Wolf, P., Abbott, R., Kannel, W.: Atrial fibrillation as an independent risk factor for stroke: the framingham study. Stroke 22, 983–988 (1991)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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 print
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kaeppler, S. et al. (2012). Motion Estimation Model for Cardiac and Respiratory Motion Compensation. In: Abolmaesumi, P., Joskowicz, L., Navab, N., Jannin, P. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2012. Lecture Notes in Computer Science, vol 7330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30618-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-30618-1_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30617-4
Online ISBN: 978-3-642-30618-1
eBook Packages: Computer ScienceComputer Science (R0)