Table of Contents Author Guidelines Submit a Manuscript
Computational and Mathematical Methods in Medicine
Volume 2011, Article ID 879086, 9 pages
http://dx.doi.org/10.1155/2011/879086
Research Article

Visual Measurement of Suture Strain for Robotic Surgery

1Department of Surgery, The University of Chicago, Chicago, IL 60637, USA
2Argonne National Laboratory, Argonne, IL 60439, USA

Received 10 November 2010; Accepted 5 January 2011

Academic Editor: Nestor V. Torres

Copyright © 2011 John Martell et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Gerhardus, “Robot-assisted surgery: the future is here,” Journal of Healthcare Management, vol. 48, no. 4, pp. 242–251, 2003. View at Google Scholar · View at Scopus
  2. M. J. Mack, “Minimally invasive and robotic surgery,” Journal of the American Medical Association, vol. 285, no. 5, pp. 568–572, 2001. View at Google Scholar · View at Scopus
  3. H. Shennib, A. Bastawisy, M. J. Mack, and F. H. Moll, “Computer-assisted telemanipulation: an enabling technology for endoscopic coronary artery bypass,” Annals of Thoracic Surgery, vol. 66, no. 3, pp. 1060–1063, 1998. View at Publisher · View at Google Scholar · View at Scopus
  4. M. E. Hagen, J. J. Meehan, I. Inan, and P. Morel, “Visual clues act as a substitute for haptic feedback in robotic surgery,” Surgical Endoscopy and Other Interventional Techniques, vol. 22, no. 6, pp. 1505–1508, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. “Personal communication with Hisham Bassiouni, M.D”.
  6. M. Kitagawa, D. Dokko, A. M. Okamura, and D. D. Yuh, “Effect of sensory substitution on suture-manipulation forces for robotic surgical systems,” Journal of Thoracic and Cardiovascular Surgery, vol. 129, no. 1, pp. 151–158, 2005. View at Publisher · View at Google Scholar · View at Scopus
  7. T. Akinbiyi, C. E. Reiley, S. Saha et al., “Dynamic augmented reality for sensory substitution in robot-assisted surgical systems,” in Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS '06), pp. 567–570, September 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Shimachi, S. Hirunyanitiwatna, Y. Fujiwara, A. Hashimoto, and Y. Hakozaki, “Adapter for contact force sensing of the da Vinci® robot,” International Journal of Medical Robotics and Computer Assisted Surgery, vol. 4, no. 2, pp. 121–130, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. C. E. Reiley, T. Akinbiyi, D. Burschka, D. C. Chang, A. M. Okamura, and D. D. Yuh, “Effects of visual force feedback on robot-assisted surgical task performance,” Journal of Thoracic and Cardiovascular Surgery, vol. 135, no. 1, pp. 196–202, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. D. Greenwald, S. Shumway, P. Albear, and L. Gottlieb, “Mechanical comparison of 10 suture materials before and after in vivo incubation,” Journal of Surgical Research, vol. 56, no. 4, pp. 372–377, 1994. View at Publisher · View at Google Scholar
  11. R. S. Deans, The Radon Transform and Some of Its Applications, John Wiley & Sons, New York, NY, USA, 1983.
  12. R. O. Duda and P. E. Hart, “Use of the Hough transformation to detect lines and curves in pictures,” Communications of the ACM, vol. 15, no. 1, pp. 11–15, 1972. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Sonka, V. Hlavac, and R. Boyle, Image Processing, Analysis and Machine Vision, Chapman & Hall, London, UK, 1993.
  14. R. Nevatia, Machine Perception, Prentice-Hall, Englewood Cliffs, NJ, USA, 1982.