Abstract
X-ray fluoroscopically guided cardiac electrophysiological procedures are routinely carried out for diagnosis and treatment of cardiac arrhythmias. X-ray images have poor soft tissue contrast and, for this reason, overlay of static 3D roadmaps derived from pre-procedural volumetric data can be used to add anatomical information. However, the registration between the 3D roadmap and the 2D X-ray data can be compromised by patient respiratory motion. Three methods were evaluated to correct for respiratory motion using features in the X-ray image data. The first method is based on tracking either the diaphragm or the heart border using the image intensity in a region of interest. The second method detects the tracheal bifurcation using the generalized Hough transform and a 3D model derived from pre-operative image data. The third method is based on tracking the coronary sinus (CS) catheter. All three methods were applied to X-ray images from 18 patients undergoing radiofrequency ablation for the treatment of atrial fibrillation. The 2D target registration errors (TRE) at the pulmonary veins were calculated to validate the methods. A TRE of 1.6 mm ± 0.8 mm was achieved for the diaphragm tracking; 1.7 mm ± 0.9 mm for heart border tracking; 1.9 mm ± 1.0 mm for trachea tracking and 1.8 mm ± 0.9 mm for CS catheter tracking. We also present a comparison between our techniques with other published image-based motion correction strategies.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
- Motion Correction
- Target Registration Error
- Tracheal Bifurcation
- Generalize Hough Transform
- Heart Border
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.
References
Rhode, K.S., Hill, D.L.G., Edwards, P.J., Hipwell, J., Rueckert, D., Sanchez-Ortiz, G., Hegde, S., Rahunathan, V., Razavi, R.: Registration and Tracking to Integrate X-ray and MR Images in an XMR facility. IEEE Transactions on Medical Imaging 24(11), 810–815 (2003)
King, A.P., Boubertakh, R., Rhode, K.S., Ma, Y.L., Chinchapatnam, P., Gao, G., Tangcharoen, T., Ginks, M., Cooklin, M., Gill, J.S., Hawkes, D.J., Razavi, R.S., Schaeffter, T.: A Subject-specific Technique For Respiratory Motion Correction in Image-guided Cardiac Catheterisation Procedures. Med. Image. Anal. 13(3), 419–431 (2009)
Timinger, H., Krueger, S., Dietmayer, K., Borgert, J.: Motion Compensated Coronary Interventional Navigation by Means of Diaphram Tracking and Elastic Motion Models. Phys. Med. Biol. 50(3), 491–503 (2005)
Shechter, G., Shechter, B., Resar, J.R., Beyar, R.: Prospective Motion Correction of X-ray Images for Coronary Interventions. IEEE Transactions on Medical Imaging 24(4), 441–450 (2005)
Brost, A., Liao, R., Hornegger, J., Strobel, N.: 3-D Respiratory Motion Compensation during EP Procedures by Image-based 3-D Lasso Catheter Model Generation and Tracking. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 394–401. Springer, Heidelberg (2009)
Wang, Y., Riederer, S.J., Ehman, R.L.: Respiratory Motion of the Heart: Kinematics and the Implications for the Spatial Resolution in Coronary Imaging. Magnetic Resonance in Medicine 33(5), 713–719 (1995)
Otsu, N.: A Threshold Selection Method from Gray-level Histograms. IEEE Transactions on Systems, Man and Cybernetics 9(1), 62–66 (1979)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ma, Y. et al. (2011). Comparing Image-Based Respiratory Motion Correction Methods for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures. In: Metaxas, D.N., Axel, L. (eds) Functional Imaging and Modeling of the Heart. FIMH 2011. Lecture Notes in Computer Science, vol 6666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21028-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-21028-0_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21027-3
Online ISBN: 978-3-642-21028-0
eBook Packages: Computer ScienceComputer Science (R0)