Skip to main content
SpringerLink
Log in

Computer-Assisted Digestive Surgery

  • Chapter
  • First Online:
Computational Surgery and Dual Training

Abstract

Introducing an optical device into the abdomen of a patient so as to carry out the surgical procedure via a miniaturized camera represented the major change the surgical world experienced during the twentieth century: the “minimally invasive” surgery era was born. This revolution is about to experience a new twist linked to the appearance of a new original technique called Natural Orifice Transluminal Endoscopic Surgery (NOTES) that could replace traditional laparoscopic surgery for a large set of procedures. By replacing the rigid optic that is introduced through the skin by a flexible optic that is introduced through a natural orifice such as stomach, vagina or colon, this new technique should eliminate all visible incisions.

If the benefits for patients have clearly been proved for laparoscopic surgery, and whatever the result for NOTES, such minimally invasive techniques bring up new difficulties for surgeons, thus reducing their gesture capacity. The first difficulty is the loss of several senses such as the sense of touch and a modification of the force feedback feeling. In NOTES, this loss is greatly amplified due to the length of instruments making it difficult to feel a contact between an instrument and an organ. This lack of force feedback is also featured by current robotic systems, such as the Da Vinci robot from the Intuitive Surgical Company, currently the most used surgical robot worldwide. The use of stereoscopic vision, however, allowed to lessen that perception limit, compensating it by a 3D view of the operative scene filmed by two cameras. But this technique will be difficult to implement for transluminal endoscopic surgery, since it requires the extreme miniaturization of cameras while maintaining a high image resolution. Another solution consists in using virtual reality and augmented reality. Indeed, virtual reality allows to provide a preoperative 3D view of patients, operated from their medical image (CT scan or MRI). This virtual copy of patients can then be used in a preoperative simulator, what provides a realistic 3D view of patients.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. OsiriX Imaging Software: www.osirix-viewer.com

  2. VR-Render: www.ircad.fr/softwares/vr-render

  3. Seong W, Kim E-J, Park J-W (2004) Automatic Segmentation Technique Without User Modification for 3D Visualization in Medical Image CIS 2004. Lect Notes Comput Sci 3314:595–600

    Article  Google Scholar 

  4. Schenk A, Prause G, Peitgen H-O (2000) Efficient semiautomatic segmentation of 3D objects in medical Images MICCAI 2000. Lect Notes Comput Sci 1935:186–195

    Google Scholar 

  5. Young Y-N, Levy D (2006) Registration-based morphing of active contours for segmentation of CT scans. Mathematical Biosciences and Engineering 2(1):79–96

    MathSciNet  Google Scholar 

  6. Camara O, Colliot O, Bloch I (2004) Computational modeling of thoracic and abdominal anatomy using spatial relationships for image segmentation. Real Time Imaging 10(4): 263–273

    Article  Google Scholar 

  7. Kitasaka T, Ogawa H, Yokoyama K, Mori K, Mekada Y, Hasegawa J-I, Suenaga Y, Toriwaki J (2005) Automated extraction of abdominal organs from uncontrasted 3D abdominal X-ray CT images based on anatomical knowledge. J Computer-Aided Diagn Med Images 9(1):1–14

    Google Scholar 

  8. Soler L, Delingette H, Malandain G, Montagnat J, Ayache N, Koehl C, Dourthe O, Malassagne B, Smith M, Mutter D, Marescaux J (2001) Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery. Comput Aided Surg 6(3):131–142

    Article  Google Scholar 

  9. Simone M, Mutter D, Rubino F, Dutson E, Roy C, Soler L, Marescaux J (2004) Three-dimensional virtual cholangioscopy: a reliable tool for the diagnosis of common bile duct stones. Ann Surg 240(1):82–88

    Article  Google Scholar 

  10. Fasquel JB, Agnus V, Lamy J (2006) An efficient and generic extension to ITK to process arbitrary shaped regions of interest. Comput Methods Programs Biomed 81(1):1–7

    Google Scholar 

  11. Fasquel JB, Agnus V, Moreau J, Soler L, Marescaux J (2006) A medical image segmentation system based on the optimal management of the regions of interest using topological medical knowledge. Comput Methods Programs Biomed 82(3):216–230

    Article  Google Scholar 

  12. Fasquel JB, Brocker G, Moreau J, Agnus V, Papier N, Koehl C, Soler L, Marescaux J (2006) A modular and evolutive component oriented software architecture for patient modelling. Comput Methods Programs Biomed 83(3):222–233

    Article  Google Scholar 

  13. Gao L, Heath DG, Kuszyk BS, Fishman EK (1996) Automatic liver segmentation techniques for three-dimensional visualization of CT data. Radiology 2(201):359–364

    Google Scholar 

  14. Lim S-J, Jeong Y-Y, Ho Y-S (2006) Automatic liver segmentation for volume measurement in CT Images. J Vis Commun Image Represent 17(4):860–875

    Article  Google Scholar 

  15. Young Y-N, Levy D (2006) Registration-based morphing of active contours for segmentation of CT scans. Math Biosci Eng 2(1):79–96

    MathSciNet  Google Scholar 

  16. Meinzer HP, Schemmer P, Schöbinger M, Nolden M, Heimann T, Yalcin B, Richter GM, Kraus T, Büchler MW, Thorn M (2004) Computer-based surgery planning for living liver donation. 20th ISPRS Congress, Istanbul 2004, International Archives of Photogrammetry and Remote Sensing. XXXV(B):291–295

    Google Scholar 

  17. Numminen K, Sipilä O, Mäkisalo H (2005) Preoperative hepatic 3D models: virtual liver resection using three-dimensional imaging technique. Eur J Radiol 56:179–184

    Article  Google Scholar 

  18. Radtke A, Nadalin S, Sotiropoulos GC, Molmenti EP, Schroeder T, Valentin-Gamazo C, Lang H, Bockhorn M, Peitgen HO, Broelsch CE, Malago M (2007) Computer-assisted operative planning in adult living donor liver transplantation: a new way to resolve the dilemma of the middle hepatic vein. World J Surg 31:175–185

    Article  Google Scholar 

  19. Koehl C, Soler L, Marescaux J (2002) A PACS based interface for 3D anatomical structures visualization and surgical planning. SPIE proceeding 4681:17–24

    Article  Google Scholar 

  20. Chung A, Deligianni F, Shah P, Wells A, Yang G-Z (2004) Enhancement of visual realism with BRDF for patient specific bronchoscopy simulation. Medical Image Computing and Computer-Assisted Intervention, Lect Notes Comput Sci 3217:486–493

    Google Scholar 

  21. Suzuki S, Eto K, Hattori A, Yanaga K, Suzuki N (2007) Surgery simulation using patient-specific models for laparoscopic colectomy. Stud Health Technol Inform 125:464–466

    Google Scholar 

  22. Agus M, Giachetti A, Gobbetti E, Zanetti G, Zorcolo A (2002) A multiprocessor decoupled system for the simulation of temporal bone surgery. Comput Vis Sci 5(1):35–43

    Article  MATH  Google Scholar 

  23. Cohen ZA, Henry JH, McCarthy DM, Mow VC, Ateshian GA (2003) Computer simulations of patellofemoral joint surgery. Patient-specific models for tuberosity transfer. Am J Sports Med 31(1):87–98

    Google Scholar 

  24. Luboz V, Chabanas M, Swider P, Payan Y (2005) Orbital and maxillofacial computer aided surgery: patient-specific finite element models to predict surgical outcomes. Comput Methods Biomech Biomed Engin 8(4):259–265

    Google Scholar 

  25. Sierra R, Dimaio SP, Wada J, Hata N, Székely G, Kikinis R, Jolesz F (2007) Patient specific simulation and navigation of ventriculoscopic interventions. Stud Health Technol Inform 125:433–435

    Google Scholar 

  26. Soler L, Forest C, Nicolau S, Vayssiere C, Wattiez A, Marescaux J (2007) Computer-assisted operative procedure: from preoperative planning to simulation. Eur Clin Obstet Gynaecol 2:201–208

    Article  Google Scholar 

  27. Hostettler A, Forest C, Forgione A, Soler L, Marescaux J (2005) Real-time ultrasonography simulator based on 3D CT-scan images. Stud Health Technol Inform 111:191–193

    Google Scholar 

  28. Allard J, Cotin S, Faure F, Bensoussan P-J, Poyer F, Duriez C, Delingette H, Grisoni L (2007) SOFA – an open source framework for medical simulation. Stud Health Technol Inform 125:13–18

    Google Scholar 

  29. Marescaux J, Rubino F, Arena M, Soler L (2004) Augmented reality assisted laparoscopic adrenalectomy. JAMA 292(18): 2214–2215

    Article  Google Scholar 

  30. Hostettler A, Nicolau S, Soler L, Remond Y (2006) Real time simulation of organ motions induced by breathing: first evaluation on patient data ISBMS. Lect Notes Comput Sci 4072: 9–18

    Article  Google Scholar 

  31. Nicolau S, Pennec X, Soler L et al (2003) Evaluation of a new 3D/2D registration criterion for liver radio-frequencies guided by augmented reality IS4TM. Lect Notes Comput Sci 2673: 270–283

    Article  Google Scholar 

  32. Nicolau S, Goffin L, Soler L (2005) A low cost and accurate guidance system for laparoscopic surgery: validation on an abdominal phantom VRST. Proceeding of ACM Symposium on Virtual Reality Software and Technology, pp 124–133

    Google Scholar 

  33. Nicolau S, Garcia A, Pennec X, Soler L, Ayache N (2005) An augmented reality system to guide radio-frequency tumor ablation. J Comput Animation Virt World 16(1):1–10

    Article  Google Scholar 

  34. Krupa A, Gangloff J, Doignon C, de Mathelin M, Morel G, Leroy J, Soler L, Marescaux J (2003) Autonomous 3D positioning of surgical instruments in robotized laparoscopic surgery using visual servoing. IEEE transactions on robotics and automation 19(5):842–853

    Article  Google Scholar 

  35. Nageotte F, de Mathelin M, Doignon C, et al (2004) Computer-aided suturing in laparoscopic surgery. Proceeding of Computer Assisted Radiology and Surgery, Chicago, USA, June 2004

    Google Scholar 

  36. Maurin B, Piccin O, Bayle B, et al (2004) A new robotic system for CT-guided percutaneous procedures with haptic feedback. Proceedings of Computer Assisted Radiology and Surgery, Chicago, USA, June 2004

    Google Scholar 

Download references

Acknowledgements

These works are a part of the European eHealth project called PASSPORT, which is funded by the European Community within the ICT theme of the seventh Framework Programme.

Author information

Authors and Affiliations

  1. IRCAD/EITS, 1, place de l’hôpital, 67091, Strasbourg Cedex, France

    Luc Soler, Stéphane Nicolau, Alexandre Hostettler, Jean-Baptiste Fasquel, Vincent Agnus, Arnaud Charnoz, Johan Moreau, Bernard Dallemagne, Didier Mutter & Jacques Marescaux

Authors
  1. Luc Soler
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stéphane Nicolau
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alexandre Hostettler
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jean-Baptiste Fasquel
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Vincent Agnus
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Arnaud Charnoz
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Johan Moreau
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Bernard Dallemagne
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Didier Mutter
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Jacques Marescaux
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Luc Soler .

Editor information

Editors and Affiliations

  1. Dept. Computer Science, University of Houston, Calhoun Rd. 4800, Houston, 77204-3475, U.S.A.

    Marc Garbey

  2. Methodist Hospital Research Institute, Fannin St. 6565, Houston, 77030, U.S.A.

    Barbara Lee Bass

  3. ENSPS, Université Strasbourg I, boulevard Sébastien Brant, Illkirch, 67412, France

    Christophe Collet

  4. ENSPS, Université Louis Pasteur -Strasbourg I, Pôle API Boulevard. Sébastien Brant, Illkirch, 67400, France

    Michel Mathelin

  5. Dept. Mechanical & Aerospace Engineering, University of Florida, Gainesville, 32611-6250, U.S.A.

    Roger Tran-Son-Tay

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Soler, L. et al. (2010). Computer-Assisted Digestive Surgery. In: Garbey, M., Bass, B., Collet, C., Mathelin, M., Tran-Son-Tay, R. (eds) Computational Surgery and Dual Training. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1123-0_8

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-1123-0_8

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-1122-3

  • Online ISBN: 978-1-4419-1123-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation