Automatic localization of laparoscopic instruments for the visual servoing of an endoscopic camera holder

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4190 LNCS - I, Issue , 2006, Pages 535-542

  Voros, Sandrine ^a   Long, Jean Alexandre ^b   Cinquin, Philippe ^a  

^a LABORATOIRE TIMC IMAG   (France)

^b GRENOBLE UNIVERSITY HOSPITAL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; ENDOSCOPY; MATHEMATICAL MODELS; ROBOTICS; VIRTUAL REALITY;

ABDOMINAL CAVITY; CAMERA HOLDERS; LAPAROSCOPIC INSTRUMENTS; LAPAROSCOPIC SURGERY;

SURGICAL EQUIPMENT;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CADAVER; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; EVALUATION; HUMAN; IMAGE ENHANCEMENT; LAPAROSCOPE; LAPAROSCOPY; METHODOLOGY; ROBOTICS; THREE DIMENSIONAL IMAGING;

ARTIFICIAL INTELLIGENCE; CADAVER; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LAPAROSCOPES; LAPAROSCOPY; PATTERN RECOGNITION, AUTOMATED; ROBOTICS; USER-COMPUTER INTERFACE;

EID: 84883838488     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866565_66     Document Type: Conference Paper

References (15)

1. B. Makhoul, A. De La Taille, D. Vordos, L. Salomon, P. Sehe et al., Laparoscopic radical nephrectomy for T1 renal cancer: the gold standard? A comparison of laparoscopic vs open nephrectomy. BJU International 2004, Vol. 93, pp. 67-70, 2004.
2. L. R. Kavoussi, R. G. Moore, J. B. Adams et al., Comparison of robotic versus human laparoscopic camera control, J Urol, 154:2134, 1995.
3. P. Ballester, Y. Jain, K. R. Haylett and R. F. McCloy, Comparison of task performance of robotic camera holders EndoAssist and Aesop. International Congress Series, Vol. 1230, pp. 1100-1103, June 2001.
4. A. Krupa, J. Gangloff, C. Doignon, M. de Mathelin, G. Morel et al., Autonomous 3-D positioning of surgical instruments in robotized laparoscopic surgery using visual servoing. IEEE Trans. on Robotics and Automation, vol. 19(5), pp. 842-853, 2003.
5. G. Wei, K. Arbter, G. Hirzinger, Real-Time Visual Servoing for Laparoscopic Surgery. Controlling Robot Motion with Color Image Segmentation. IEEE Engineering in Medecine and Biology, pp. 40-45, 1997.
6. X. Zhang, S. Payandeh, Application of Visual Tracking for Robotic-Assisted Laparoscopic Surgery, Journal of Robotics Systems (2002) 19(7) : 315-28.
7. O. Tonet, T.U. Ramesh, G. Megali, P. Dario, Image analysis-based approach for localization of endoscopic tools, Proc. of Surgetica'05, pp. 221-228, 2005.
8. Yuang Wang, D. R. Uecker and Yulun Wang, A new framework for vision enabled and robotically assisted minimally invasive surgery. Computerized Medical Imaging and Graphics, Vol. 22, pp. 429-437, 1998.
9. C. Doignon, F. Nageotte, M. De Mathelin, Detection of grey regions in color images : application to the segmentation of a surgical instrument in robotized laparoscopy, Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp 3394-3399, 2004.
10. J. Climent, P. Marés, Automatic instrument localization in laparoscopic surgery, Electronic Letters on Computer Vision and Image Analysis, 4(1), pp. 21-31, 2004
11. S. Voros, E. Orvain, J-A. Long, P. Cinquin, Automatic detection of instruments in laparoscopic images: a first step towards high level command of robotized endoscopie holders, proceedings of the IEEE / RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006.
12. P. J. Berkelman, Ph. Cinquin, J. Troccaz, J-M. Ayoubi, C. Létoublon, Development of a Compact Cable-Driven Laparoscopic Endoscope Manipulator. MICCAI 2002, Vol. 2488, pp. 17-24, 2002.
13. Z. Zhang, A Flexible New Technique for Camera Calibration. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(11) pp. 1330-1334, 2000.
14. Richard O. Duda, Peter E. Hart, Use of the Hough Transformation To Detect Lines and Curves in Pictures. Communications of the ACM, Vol. 15(1), pp. 11-15, 1972.
15. N. Otsu, A threshold selection method from gray level histograms. IEEE Trans. Systems, Man and Cybernetics, Vol. 9, pp. 62-66, 1979.