132
Views
13
CrossRef citations to date
0
Altmetric
Technological free papers

Video-based assistance system for training in minimally invasive surgery

, , , , , & show all
Pages 197-205 | Published online: 24 Nov 2010

References

  • Schietroma M, Carlei F, Cappelli S, Pescosolido A, Lygidakis NJ, Amicucci G. Effects of cholecystectomy (laparoscopic versus open) on PMN-elastase. Hepatogastroenterology 2007;54:342–5.
  • Buunen M, Gholghesaei M, Veldkamp R, Meijer DW, Bonjer HJ, Bouvy ND. Stress response to laparoscopic surgery - A review. Surg Endosc. 2004;18:1022–8.
  • Beldi G, Ipaktchi R, Wagner M, Gloor B, Candinas D. Laparoscopic ventral hernia repair is safe and cost effective. Surg Endosc. 2006;20:92–5.
  • Cordera F, Long KH, Nagorney DM, McMurtry EK, Schleck C, Ilstrup D, Open versus laparoscopic splenectomy for idiopathic thrombocytopenic purpura: Clinical and economic analysis. Surgery 2003;134:45–52.
  • Seitz G, Seitz EM, Kasparek MS, Konigsrainer A, Kreis ME. Long-term quality-of-life after open and laparoscopic sigmoid colectomy. Surg Endosc. 2008;18:162–7.
  • Delaney CP, Chang E, Senagore AJ, Broder M. Clinical outcomes and resource utilization associated with laparoscopic and open colectomy using a large national database. Ann Surg. 2008;247:819–24.
  • Roumm AR, Pizzi L, Goldfarb NI, Cohn H. Minimally invasive: minimally reimbursed? An examination of six laparoscopic surgical procedures. Surg Innov. 2005;12:261–87.
  • Nguyen NT, Zainabadi K, Mavandadi S, Paya M, Stevens CM, Root J, Trends in utilization and outcomes of laparoscopic versus open appendectomy. Am J Surg. 2004;188:813–18.
  • Usón J, Sánchez FM, Pascual S, Climent S. Formación en Cirugía Laparoscópica Paso a Paso. 3rd ed. Minimally Invasive Surgery Centre Jesús Usón, editor. Cáceres, Spain; 2007.
  • Sánchez-Margallo FM, Asencio JM, Tejonero MC, Sánchez MA, Pérez FJ, Usón J, Training design and improvement of technical skills in the transvaginal cholecystectomy (NOTES). Cir Esp. 2009;85:307–13.
  • Van Velthoven RF, Piechaud PT. Training centers: an essential step to developing skills in urolaparoscopy. Curr Urol Rep. 2009;10:93–6.
  • Stylopoulos N, Cotin S, Dawson S, Ottensmeyer M, Neumann P, Bardsley R, CELTS: a clinically-based Computer Enhanced Laparoscopic Training System. Stud Health Technol Inform. 2003;94:336–42.
  • Soyinka A, Schollmeyer T, Meinhold-Heerlein I, Gopalghare D, Hasson H, Mettler L. Enhancing laparoscopic performance with the LTS3e: a computerized hybrid physical reality simulator. Fertil Steril. 2008;90:1988–94.
  • Mathis KL, Wiegmann DA. Construct validation of a laparoscopic surgical simulator. Simul Healthc. 2007;2:178–82.
  • Sokollik C, Gross J, Buess G. New model for skills assessment and training progress in minimally invasive surgery. Surg Endosc. 2004;18:495–500.
  • Van Sickle KR, McClusky DA, Gallagher AG, Smith CD. Construct validation of the ProMIS simulator using a novel laparoscopic suturing task. Surg Endosc. 2007;19:1227–31.
  • Wang YF, Uecker DR, Wang YL. A new framework for vision-enabled and robotically assisted minimally invasive surgery. Comput Med Imaging Graph. 1998;22:429–37.
  • McKenna S, Charif H, Frank T, editors. Towards Video Understanding of Laparoscopic Surgery: Instrument Tracking. Proceedings of Image and Vision Computing; 2005; New Zealand.
  • Doignon C, Graebling P, Mathelin M. Real-time segmentation of surgical instruments inside the abdominal cavity using a joint hue saturation color feature. Real-Time Imaging 2005;11:429–42.
  • Wei GQ, Arbter K, Hirzinger G, editors. Automatic tracking of laparoscopic instruments by color coding. Proceedings of the first international joint conference CRVMed-MRCAS'97; Grenoble, France; 1997.
  • Nishikawa A, Asano S, Fujita R, Yohda T, Miyazaki F, Sekimoto M, , editors. Robust visual tracking of multiple surgical instruments for laparoscopic surgery. Proceedings of Computer Assisted Radiology and Surgery; London, UK; 2003.
  • Zhang XL, Payandeh S. Application of visual tracking for robot-assisted laparoscopic surgery. J Robot Syst. 2002;19:315–28.
  • Tonet O, Thoranaghatte RU, Megali G, Dario P. Tracking endoscopic instruments without a localizer: A shape-analysis-based approach. Comput Aided Surg. 2007;12:35–42.
  • Doignon C, Nageotte F, Maurin B, Krupa A. Pose estimation and feature tracking for robot assisted surgery with medical imaging. In: Kragic D, Kyrki V, editors. Unifying Perspectives in Computational and Robot Vision: Springer Verlag; 2007.
  • Climent J, Mares P. Automatic instrument localization in laparoscopic surgery. Electronic Letters on Computer Vision and Image Analysis. 2004;4:21–31.
  • Voros S, Long JA, Cinquin P. Automatic detection of instruments in laparoscopic images: A first step towards high-level command of robotic endoscopic holders. Int J Rob Res. 2007;26:1173–90.
  • Cano AM, Gaya F, Lamata P, Sanchez-Gonzalez P, Gomez EJ, editors. Laparoscopic tool tracking method for augmented reality surgical applications. Proceedings of International Symposium on Biomedical Simulation; London, UK; 2008.
  • Sánchez-Margallo FM, Díaz-Guemes I, Pérez FJ, Sánchez MA, Loscertales B, Usón J. Preliminary results with a training program for thoracoscopic atrial fibrillation therapy. Surg Endosc. 2009;23:1882–6.
  • Usón J, Sánchez FM, Díaz-Guemes I, Loscertales B, Soria F, Pascual S. Animal models in urological laparoscopic training. Actas Urol Esp. 2006;30:443–50.
  • Bradski G, Kaehler A. Learning OpenCV. Computer Vision with the OpenCV Library. Loukides M, editor. Sebastopol, CA, USA: O'Reilly; 2008.
  • Lucas B, Kanade T, editors. An Iterative Image Registration Technique with an Application to Stereo Vision. Proceedings of IJCAI; Vancouver, BC, Canada; 1981.
  • Bouguet J. Pyramidal implementation of the Lucas Kanade feature tracker. Intel Corporation, Microprocessor Research Labs. 1999.
  • Freund Y, Schapire RE. A Decision-Theoretic Generaliztion of On-Line Learning and an Application to Boosting. Journal of Computer and System Sciences. 1997;55:119–39.
  • Viola P, Jones M. Robust real-time face detection. Int J Comput Vis. 2004;57:137–54.
  • Judkins TN, Oleynikov D, Stergiou N. Objective evaluation of expert and novice performance during robotic surgical training tasks. Surg Endosc. 2009;23:590–7.
  • Mayhew J, Frisby J. 3D Model Recognition From Stereoscopic Cues. Cambridge, Massachusetts: MIT Press; 1991.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.