TOWARDS COMPUTER ASSISTED CARDIAC CATHETERIZATION - How 3D Visualization Supports It

Klaus Drechsler, Cristina Oyarzun Laura, Georgios Sakas

2009

Abstract

Although cardiac catheterization procedures take place under x-ray guidance, the doctor is almost blind. Vessels are almost invisible until he injects a contrast agent and looking only at 2D x-ray images and reconstructing a 3D image in his head makes it error prone and tedious. Only experienced doctors are able to accomplish this procedure with the expected results. This paper describes our preliminary work and work in progress to support doctors during cardiac catheterizations using 3D visualization.

References

  1. Boykov, Y. Y. and Jolly, M. P. (2001). Interactive graph cuts for optimal boundary & region segmentation of objects in n-d images. In ICCV 2001. Proceedings. Eighth IEEE International Conference on Computer Vision. Proceedings., volume 1, pages 105-112 vol.1.
  2. Egger, J., Mostarkic, Z., Grosskopf, S., and Freisleben, B. (2007). A fast vessel centerline extraction algorithm for catheter simulation. In CBMS 7807: Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems, pages 177-182, Washington, DC, USA. IEEE Computer Society.
  3. Filippatos, K. (2006). A navigation tool for the endovascular treatment of aortic aneurysms - computer aided implantation of a stent graft. Master's thesis, Technical University of Munich.
  4. Florin, C., Paragios, N., and Williams, J. (2005). Particle filters, a quasi-monte carlo solution for segmentation of coronaries. In Duncan, J. S. and Gerig, G., editors, MICCAI: Medical Image Computing and ComputerAssisted Intervention, volume 3749 of Lecture Notes in Computer Science, pages 246-253. Springer.
  5. Hennemuth, A., Bock, S., Boskamp, T., Peitgen, H.-O., Fritz, D., Rinck, D., and Scheuering, M. (2005). Oneclick coronary tree segmentation in ct angiographic images. In Proceedings of CARS 2005.
  6. Hoffmann, M. H. K., Shi, H., Schmitz, B. L., Schmid, F. T., Lieberknecht, M., Schulze, R., Ludwig, B., Kroschel, U., Jahnke, N., Haerer, W., Brambs, H.- J., and Aschoff, A. J. (2005). Noninvasive coronary angiography with multislice computed tomography. JAMA: Journal of the American Medical Association, 293(20):2471-2478.
  7. Jaehne, M., Lacalli, C., and Wesarg, S. (2008). Novel techniques for automatically enhanced visualization of coronary arteries in msct data and for drawing direct comparisons to conventional angiography. In VISIGRAPP 2008: International Joint Conference on Computer Vision and Computer Graphics Theory and Applications. Proceedings. CD-ROM., pages S.290- 296. INSTICC Press.
  8. Khan, M., Wesarg, S., Gurung, J., Dogan, S., Maataoui, A., Brehmer, B., Herzog, C., Ackermann, H., Assmus, B., and Vogl, T. (2006). Facilitating coronary artery evaluation in mdct using a 3d automatic vessel segmentation tool. European Radiology, 16(8):1789-1795.
  9. Kirbas, C. and Quek, F. K. H. (2004). A review of vessel extraction techniques and algorithms. ACM Computing Surveys, 36:81-121.
  10. Lacalli, C., Jaehne, M., and Wesarg, S. (2008). Automatisierte verfahren zur verbesserten visualisierung der koronararterien in msct-daten und fuer die direkte vergleichbarkeit zur angiographie. In Bildverarbeitung fuer die Medizin 2008: Algorithmen - Systeme - Anwendungen, pages 283-287.
  11. Langs, G., Radeva, P., Rotger, D., and Carreras, F. (2004). Building and registering parameterized 3d models of vessel trees for visualization during intervention. In ICPR 7804: Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3, pages 726-729, Washington, DC, USA. IEEE Computer Society.
  12. Lau, K. and Chung, A. (2006). A global optimization strategy for 3d-2d registration of vascular images. In BMVC06, volume 2, page 489ff.
  13. Lorensen, W. E. and Cline, H. E. (1987). Marching cubes: A high resolution 3d surface construction algorithm. SIGGRAPH Comput. Graph., 21(4):163-169.
  14. Lorenz, C., Lessick, J., Lavi, G., Bulow, T., and Renisch, S. (2004). Fast automatic delineation of cardiac volume of interest in msct images. In Sonka, J. M. F. M., editor, Medical Imaging 2004: Image Processing, volume 5370, pages 456-466.
  15. Luengo-Oroz, M. A., Ledesma-Carbayo, M. J., Gó mezDiego, J. J., García-Fernandez, M. A., Desco, M., and Santos, A. (2007). Morphological tubular extraction applied to coronary artery reconstruction in ct-images. In BIEN 7807: Proceedings of the fifth IASTED International Conference, pages 391-395, Anaheim, CA, USA. ACTA Press.
  16. Otsu, N. (1979). A threshold selection method from graylevel histograms. IEEE Transactions on Systems, Man and Cybernetics, 9(1):62-66.
  17. Turgeon, G.-A., Lehmann, G., Guiraudon, G., Drangova, M., Holdsworth, D., and Peters, T. (2005). 2d-3d registration of coronary angiograms for cardiac procedure planning and guidance. Medical Physics, 32(12):3737-3749.
  18. Wesarg, S. and Firle, E. A. (2004). Segmentation of vessels: The corkscrew algorithm. In Medical imaging 2004: Image processing., volume 5370, pages 1609-1620.
  19. Wesarg, S., Khan, M., Jaehne, M., and Lacalli, C. (2008). Automatisierte analyse der koronararterien basierend auf msct-daten. Deutsche Zeitschrift fuer klinische Forschung, 11(3/4):28-33.
  20. Wesarg, S., Khan, M. F., and Firle, E. (2006). Localizing calcifications in cardiac ct data sets using a new vessel segmentation approach. Journal of Digital Imaging, 19:249-257.
  21. Wolf, I., Vetter, M., Wegner, I., Bottger, T., Nolden, M., Schobinger, M., Hastenteufel, M., Kunert, T., and Meinzer, H.-P. (2005). The medical imaging interaction toolkit. Medical Image Analysis, 9(6):594-604.
Download


Paper Citation


in Harvard Style

Drechsler K., Oyarzun Laura C. and Sakas G. (2009). TOWARDS COMPUTER ASSISTED CARDIAC CATHETERIZATION - How 3D Visualization Supports It . In Proceedings of the First International Conference on Computer Imaging Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2009) ISBN 978-989-8111-68-5, pages 159-165. DOI: 10.5220/0001771801590165


in Bibtex Style

@conference{imagapp09,
author={Klaus Drechsler and Cristina Oyarzun Laura and Georgios Sakas},
title={TOWARDS COMPUTER ASSISTED CARDIAC CATHETERIZATION - How 3D Visualization Supports It},
booktitle={Proceedings of the First International Conference on Computer Imaging Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2009)},
year={2009},
pages={159-165},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001771801590165},
isbn={978-989-8111-68-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Imaging Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2009)
TI - TOWARDS COMPUTER ASSISTED CARDIAC CATHETERIZATION - How 3D Visualization Supports It
SN - 978-989-8111-68-5
AU - Drechsler K.
AU - Oyarzun Laura C.
AU - Sakas G.
PY - 2009
SP - 159
EP - 165
DO - 10.5220/0001771801590165