1887
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
oa
Real-time x-ray fluoroscopy-based catheter detection and tracking for cardiac electrophysiology interventions
Rent:
Rent this article for
Access full text Article
/content/aapm/journal/medphys/40/7/10.1118/1.4808114
1.
1. J. Ector, S. De Buck, W. Huybrechts, D. Nuyens, S. Dymarkowski, J. Bogaert, F. Maes, and H. Heidbüchel, “Biplane three-dimensional augmented fluoroscopy as single navigation tool for ablation of atrial fibrillation: Accuracy and clinical value,” Heart Rhythm 5, 957964 (2008).
http://dx.doi.org/10.1016/j.hrthm.2008.03.024
2.
2. S. Knecht, H. Skali, M. D. O'Neill, M. Wright, S. Matsuo, G. Chaudhry, C. Haffajee, I. Nault, G. Gijsbers, F. Sacher, F. Laurent, M. Montaudon, O. Corneloup, M. Hocini, M. Haïssaguerre, M. Orlov, and P. Jaïs, “Computed tomography-fluoroscopy overlay evaluation during catheter ablation of left atrial arrhythmia,” Europace 10, 931938 (2008).
http://dx.doi.org/10.1093/europace/eun145
3.
3. J. Sra, G. Narayan, D. Krum, A. Malloy, R. Cooley, A. Bhatia, A. Dhala, Z. Blanck, V. Nangia, and M. Akhtar, “Computed tomography-fluoroscopy image integration-guided catheter ablation of atrial fibrillation,” J. Cardiovasc. Electrophysiol. 18, 409414 (2007).
http://dx.doi.org/10.1111/j.1540-8167.2006.00734.x
4.
4. K. S. Rhode, M. Sermesant, D. Brogan, S. Hegde, J. Hipwell, P. Lambiase, E. Rosenthal, C. Bucknall, S. A. Qureshi, J. S. Gill, R. Razavi, and D. L. G. Hill, “A system for real-time XMR guided cardiovascular intervention,” IEEE Trans. Med. Imaging 24, 14281440 (2005).
http://dx.doi.org/10.1109/TMI.2005.856731
5.
5. M. Orlov, P. Hoffmeister, G. Chaudhry, I. Almasry, G. Gijsbers, T. Swack, and C. Haffajee, “Three-dimensional rotational angiography of the left atrium and esophagus: A virtual computed tomography scan in the electrophysiology lab,” Heart Rhythm 4, 3743 (2007).
http://dx.doi.org/10.1016/j.hrthm.2006.10.003
6.
6. A. Al-Ahmad, L. Wigström, D. Sandner-Porkristl, P. Wang, P. Zei, J. Boese, G. Lauritsch, T. Moore, F. Chan, and R. Fahrig, “Three-dimensional rotational angiography of the left atrium and esophagus: A virtual computed tomography scan in the electrophysiology lab,” Heart Rhythm 5, 513519 (2008).
http://dx.doi.org/10.1016/j.hrthm.2007.12.027
7.
7. G. Nolker, K. Gutleben, H. Marschang, G. Ritscher, S. Asbach, N. Marrouch, J. Brachmann, and A. Sinha, “Three-dimensional left atrial and esophagus reconstruction using cardiac C-arm computed tomography with image integration into fluoroscopic views for ablation of atrial fibrillation: Accuracy of a novel modality in comparison with multislice computed tomography,” Heart Rhythm 5, 16511657 (2008).
http://dx.doi.org/10.1016/j.hrthm.2008.09.011
8.
8. Y. Ma, G. P. Penney, D. Bos, P. Frissen, C. Rinaldi, R. Razavi, and K. Rhode, “Hybrid echo and X-ray image guidance for cardiac catheterization procedures by using a robotic arm: a feasibility study,” Phys. Med. Biol. 55, N371N382 (2010).
http://dx.doi.org/10.1088/0031-9155/55/13/N01
9.
9. G. Gao, G. Penney, Y. Ma, N. Gogin, P. Cathier, A. Arujuna, G. Morton, D. Caulfield, J. Gill, C. A. Rinaldi, J. Hancock, S. Redwood, M. Thomas, R. Razavi, G. Gijsbers, and K. Rhode, “Registration of 3D trans-esophageal echocardiography to X-ray fluoroscopy using image-based probe tracking,” Med. Image Anal. 16, 3849 (2012).
http://dx.doi.org/10.1016/j.media.2011.05.003
10.
10. K. Rhode and M. Sermesant, “Modeling and registration for electrophysiology procedures based on three-dimensional imaging,” Curr. Cardiovasc. Imaging Rep. 4, 116126 (2011).
http://dx.doi.org/10.1007/s12410-011-9067-7
11.
11. S. Huang and M. Wood, Catheter Ablation of Cardiac Arrhythmias, 2nd ed. (Saunders, Texas, 2010).
12.
12. A. King, R. Boubertakh, K. Rhode, Y. Ma, P. Chinchapatnam, G. Gao, T. Tangcharoen, M. Ginks, M. Cooklin, J. Gill, D. Hawkes, R. Razavi, and T. Schaeffter, “A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures,” Med. Image Anal. 13, 419431 (2009).
http://dx.doi.org/10.1016/j.media.2009.01.003
13.
13. A. Brost, R. Liao, J. Hornegger, and N. Strobel, “3-D respiratory motion compensation during EP procedures by image-based 3-D lasso catheter model generation and tracking,” in Medical Image Computing and Computer-Assisted Intervention-MICCAI, Lecture Notes in Computer Science Vol. 5761 (Springer, London, U.K., 2009) pp. 394401.
14.
14. A. Brost, R. Liao, J. Hornegger, and N. Strobel, “Respiratory motion compensation by model-based catheter tracking during EP procedures,” Med. Image Anal. 14, 695706 (2010).
http://dx.doi.org/10.1016/j.media.2010.05.006
15.
15. Y. L. Ma, A. P. King, N. Gogin, C. A. Rinaldi, J. Gill, R. Razavi, and K. Rhode, “Real-time respiratory motion correction for cardiac electrophysiology procedures using image-based coronary sinus catheter tracking,” in Medical Image Computing and Computer-Assisted Intervention-MICCAI, Lecture Notes in Computer Science Vol. 6361 (Springer, Beijing, China, 2010), pp. 391399.
16.
16. Y. L. Ma, A. P. King, N. Gogin, G. Gijsbers, C. A. Rinaldi, J. Gill, R. Razavi, and K. Rhode, “Comparing image-based respiratory motion correction methods for anatomical roadmap guided cardiac electrophysiology procedures,” in Functional Imaging and Modeling of the Heart-FIMH, Lecture Notes in Computer Science Vol. 6666 (Springer, New York, NY, 2011), pp. 5562.
17.
17. Y. Ma, A. King, N. Gogin, G. Gijsbers, C. A. Rinaldi, J. Gill, R. Razavi, and K. Rhode, “Clinical evaluation of respiratory motion compensation for anatomical roadmap guided cardiac electrophysiology procedures,” IEEE Trans. Biomed. Eng. 59, 122131 (2012).
http://dx.doi.org/10.1109/TBME.2011.2168393
18.
18. Y. L. Ma, G. Gao, G. Gijsbers, C. A. Rinaldi, J. Gill, R. Razavi, and K. Rhode, “Image-based automatic ablation point tagging system with motion correction for cardiac ablation procedures,” in Information Processing in Computer-Assisted Interventions, Lecture Notes in Computer Science Vol. 6689 (Springer, Berlin, Germany, 2011), pp. 145155.
19.
19. H. J. Bender, R. Männer, C. Poliwoda, S. Roth, and M. Walz, “Reconstruction of 3D catheter paths from 2D X-ray projections,” in Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science Vol. 1679 (Springer, London, U.K., 1999), pp. 981989.
20.
20. P. Fallavollita, “2D/3D registration of mapping catheter images for arrhythmia interventional assistance,” Int. J. Comput. Sci. Issues 4, 1019 (2009).
21.
21. H. Sundar, A. Khamene, L. Yayziv, and C. Xu, “Automatic image-based cardiac and respiratory cycle synchronization and gating of image sequences,” in Medical Image Computing and Computer-Assisted Intervention-MICCAI, Lecture Notes in Computer Science Vol. 5762 (Springer, London, U.K., 2009), pp. 381388.
22.
22. E. Franken, P. Rongen, M. Almsick, and B. Romeny, “Detection of electrophysiology catheters in noisy fluoroscopy images,” in Medical Image Computing and Computer-Assisted Intervention-MICCAI, Lecture Notes in Computer Science Vol. 4191 (Springer, Copenhagen, Denmark, 2006), pp. 2532.
23.
23. R. van der Weide, C. Bakker, and M. Viergever, “Localization of intravascular devices with paramagnetic markers in mr images,” IEEE Trans. Med. Imaging 20, 10611071 (2001).
http://dx.doi.org/10.1109/42.959303
24.
24. M. Schenderlein, S. Stierlin, R. Manzke, V. Rasche, and K. Dietmayer, “Catheter tracking in asynchronous biplane fluoroscopy images by 3D B-snakes,” Proc. SPIE 7625, 10971104 (2010).
25.
25. W. Wu, T. Chen, A. Barbu, P. Wang, N. Strobel, S. Zhou, and D. Comaniciu, “Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy,” in Proceeedings of Conference on Computer Vision and Pattern Recognition, Colorado (IEEE, Colorado, 2011), pp. 10971104.
26.
26. L. Yatziv, M. Chartouni, S. Datta, and G. Sapiro, “Toward multiple catheters detection in fluoroscopic image guided interventions,” IEEE Trans. Inf. Technol. Biomed. 16, 770781 (2012).
http://dx.doi.org/10.1109/TITB.2012.2189407
27.
27. T. Lindeberg, “Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention,” Int. J. Comput. Vis. 11, 283318 (1993).
http://dx.doi.org/10.1007/BF01469346
28.
28. T. Lindeberg, “Scale-space,” Encyclopedia of Computer Science and Engineering (John Wiley and Sons, Urbana, 2009), pp. 24952540.
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/40/7/10.1118/1.4808114
Loading
/content/aapm/journal/medphys/40/7/10.1118/1.4808114
Loading

Data & Media loading...

Loading

Article metrics loading...

/content/aapm/journal/medphys/40/7/10.1118/1.4808114
2013-06-11
2014-09-23

Abstract

X-ray fluoroscopically guided cardiac electrophysiology (EP) procedures are commonly carried out to treat patients with arrhythmias. X-ray images have poor soft tissue contrast and, for this reason, overlay of a three-dimensional (3D) roadmap derived from preprocedural volumetric images can be used to add anatomical information. It is useful to know the position of the catheter electrodes relative to the cardiac anatomy, for example, to record ablation therapy locations during atrial fibrillation therapy. Also, the electrode positions of the coronary sinus (CS) catheter or lasso catheter can be used for road map motion correction.

In this paper, the authors present a novel unified computational framework for image-based catheter detection and tracking without any user interaction. The proposed framework includes fast blob detection, shape-constrained searching and model-based detection. In addition, catheter tracking methods were designed based on the customized catheter models input from the detection method. Three real-time detection and tracking methods are derived from the computational framework to detect or track the three most common types of catheters in EP procedures: the ablation catheter, the CS catheter, and the lasso catheter. Since the proposed methods use the same blob detection method to extract key information from x-ray images, the ablation, CS, and lasso catheters can be detected and tracked simultaneously in real-time.

The catheter detection methods were tested on 105 different clinical fluoroscopy sequences taken from 31 clinical procedures. Two-dimensional (2D) detection errors of 0.50 ± 0.29, 0.92 ± 0.61, and 0.63 ± 0.45 mm as well as success rates of 99.4%, 97.2%, and 88.9% were achieved for the CS catheter, ablation catheter, and lasso catheter, respectively. With the tracking method, accuracies were increased to 0.45 ± 0.28, 0.64 ± 0.37, and 0.53 ± 0.38 mm and success rates increased to 100%, 99.2%, and 96.5% for the CS, ablation, and lasso catheters, respectively. Subjective clinical evaluation by three experienced electrophysiologists showed that the detection and tracking results were clinically acceptable.

The proposed detection and tracking methods are automatic and can detect and track CS, ablation, and lasso catheters simultaneously and in real-time. The accuracy of the proposed methods is sub-mm and the methods are robust toward low-dose x-ray fluoroscopic images, which are mainly used during EP procedures to maintain low radiation dose.

Loading

Full text loading...

/deliver/fulltext/aapm/journal/medphys/40/7/1.4808114.html;jsessionid=d4j2thsnq8fh5.x-aip-live-02?itemId=/content/aapm/journal/medphys/40/7/10.1118/1.4808114&mimeType=html&fmt=ahah&containerItemId=content/aapm/journal/medphys

Most read this month

Article
content/aapm/journal/medphys
Journal
5
3
Loading

Most cited this month

true
true
This is a required field
Please enter a valid email address
This feature is disabled while Scitation upgrades its access control system.
This feature is disabled while Scitation upgrades its access control system.
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Real-time x-ray fluoroscopy-based catheter detection and tracking for cardiac electrophysiology interventions
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/40/7/10.1118/1.4808114
10.1118/1.4808114
SEARCH_EXPAND_ITEM