Endoscopic navigation for minimally invasive suturing

Computer Aided Surgery

Volumn 13, Issue 5, 2008, Pages 299-310

  Wengert, Christian ^a   Bossard, Lukas ^a   Baur, Charles ^b   Székely, Gábor ^a   Cattin, Philippe C ^c  

^a ETH ZURICH   (Switzerland)

^b EPFL   (Switzerland)

^c UNIVERSITY OF BASEL   (Switzerland)

Author keywords

Augmented reality; Depth cues; Endoscopy; Navigation; Suturing needle

Indexed keywords

CONFERENCE PAPER; ENDOSCOPE; ENDOSCOPIC SURGERY; ENDOSCOPY; IMAGING SYSTEM; INTRAOPERATIVE PERIOD; MINIMALLY INVASIVE SURGERY; NEEDLE; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; SUTURING METHOD; THREE DIMENSIONAL IMAGING; VISUAL AID;

ALGORITHMS; DEPTH PERCEPTION; ENDOSCOPY; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, THEORETICAL; PERCEPTION; PILOT PROJECTS; SURGICAL PROCEDURES, MINIMALLY INVASIVE; SUTURE TECHNIQUES;

EID: 52949102936     PISSN: 10929088     EISSN: 10970150     Source Type: Journal    
DOI: 10.3109/10929080802337914     Document Type: Conference Paper

References (25)

1. Thoranaghatte RU, Zheng G, Langlotz F, Nolte LP. Endoscope-based hybrid navigation system for minimally invasive ventral-spine surgeries. Comput Aided Surg 2005;10(5-6):351-356.
2. Sauer F, Khamene A, Vogt S. An augmented reality navigation system with a single-camera tracker: System design and needle biopsy phantom trial. In: Dohi T, Kikinis R, editors. Proceedings of the Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2002), Tokyo, Japan, September 2002. Part II. Lecture Notes in Computer Science 2489. Berlin: Springer; 2002. pp 116-124.
3. Fuchs H, Livingston M, Raskar R, Colucci D, Keller K, State A, Crawford JR, Rademacher P, Drake SH, Meyer AA. Augmented reality visualization for laparoscopic surgery. In: Wells WM, Colchester A, Delp S, editors. Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'98), Cambridge, MA, October 1998. Lecture Notes in Computer Science 1496. Berlin: Springer; 1998. pp 934-943.
4. Novotny PM, Stoll JA, Vasilyev NV, del Nido PJ, Dupont PE, Howe RD. GPU based real-time instrument tracking with three dimensional ultrasound. Med Image Anal 2007;11(5):458-464.
5. Nicolaou M, James A, Lo B, Darzi A, Yang GZ. Invisible shadow for navigation and planning in minimal invasive surgery. In: Duncan JS, Gerig G, editors. Proceedings of the 8th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2005), Palm Springs, CA, October 2005. Part II. Lecture Notes in Computer Science 3750. Berlin: Springer; 2005. pp 25-32.
6. Morimoto T, Kiriyama O, Harada Y, Adachi H, Koide T, Mattausch HJ. Object tracking in video pictures based on image segmentation and pattern matching. In: Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS 2005), Kobe, Japan, May 2005. pp 3215-3218.
7. Comaniciu D, Ramesh V, Meer P. Kernel-based object tracking. IEEE Trans Pattern Anal Machine Intell 2003;25(5):564-577.
8. Lowe DG. Three-dimensional object recognition from single two-dimensional images. Artificial Intell 1987;31(3):355-395.
9. Krupa A, de Mathelin M, Doignon C, Gangloff J, Morel G, Soler L, Leroy J, Marescaux J. Automatic 3-D positioning of surgical instruments during robotized laparoscopic surgery using automatic visual feedback. In: Dohi T, Kikinis R, editors. Proceedings of the Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2002), Tokyo, Japan, September 2002. Part I. Lecture Notes in Computer Science 2488. Berlin: Springer; 2002. pp 9-16.
10. Wei GQ, Arbter K, Hirzinger G. Automatic tracking of laparoscopic instruments by color coding. In: Troccaz J, Grimson E, Mösges R, editors. Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery (CVRMed-MRCAS'97), Grenoble, France, March 1997. Lecture Notes in Computer Science 1205. Berlin: Springer; 1997. pp 357-366.
11. Ji Q, Haralick RM. A statistically efficient method for ellipse detection. In: Proceedings of the International Conference on Image Processing (ICIP 1999), Kobe, Japan, October 1999. Vol 2. pp 730-734.
12. Rosin PL, West GAW. Nonparametric segmentation of curves into various representations. IEEE Trans Pattern Anal Machine Intell 1995;17(12):1140-1153.
13. Rosin PL, West GAW. Segmenting curves into elliptic arcs and straight lines. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV 1990), Osaka, Japan, December 1990. pp 75-78.
14. Xu L, Oja E. Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities. CVGIP: Image Understanding 1993;57(2):131-154.
15. McLaughlin RA. Randomized Hough transform: Improved ellipse detection with comparison. Pattern Recognition Letters 1998;19(3-4):299-305.
16. Fitzgibbon AW, Pilu M, Fisher RB. Direct least squares fitting of ellipses. In: Proceedings of the 13th International Conference on Pattern Recognition (ICPR 1996), Vienna, Austria, September 1996. pp 253-257.
17. Haralick RM, Joo H, Lee C, Zhuang X, Vaidya VG, Kim MB. Pose estimation from corresponding point data. IEEE Trans Systems Man Cybernetics 1989;19(6):1426-1446.
18. Rosenhahn B, Ho H, Klette R. Texture driven pose estimation. In: Proceedings of the International Conference on Computer Graphics, Imaging and Visualization (CGIV'05), Beijing, China, July 2005. pp 271-277.
19. Lowe DG. Fitting parameterized three-dimensional models to images. IEEE Trans Pattern Anal Machine Intell 1991;13(5):441-450.
20. Burckhardt K, Dora C, Gerber C, Hodler J, Székely G. Measuring orthopedic implant wear on standard radiographs with a precision in the 10 μm range. Med Image Anal 2006;10(4):520-529.
21. Wengert C, Reeff M, Cattin PC, Székely G. Fully automatic endoscope calibration for intraoperative use. In: Proceedings of Bildverarbeitung für die Medizin (BVM 2006), Hamburg, Germany, March 2006. pp 419-423.
22. Heikkilä J, Silven O. A four-step camera calibration procedure with implicit image correction. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 1997), San Juan, Puerto Rico, June 1997. pp 1106-1112.
23. De Ipiña DL, Mendonça PRS, Hopper A. TRIP: A low-cost vision-based location system for ubiquitous computing. Personal Ubiquitous Computing 2002;6(3):206-219.
24. Zhang ZY. Flexible camera calibration by viewing a plane from unknown orientations. In: Proceedings of the 7th IEEE International Conference on Computer Vision (ICCV 1999), Kerkyra, Corfu, Greece, September 1999. Vol 1. pp 666-673.
25. Wengert C, Cattin PC, Duff JM, Székely G. Markerless endoscopic registration and referencing. In: Larsen R, Nielsen M, Sporring J, editors. Proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Copenhagen, Denmark, October 2006. Part I. Lecture Notes in Computer Science 4190. Berlin: Springer; 2006. pp 816-823.