Literature DB >> 21802281

Augmented reality in laparoscopic surgical oncology.

Stéphane Nicolau1, Luc Soler, Didier Mutter, Jacques Marescaux.   

Abstract

Minimally invasive surgery represents one of the main evolutions of surgical techniques aimed at providing a greater benefit to the patient. However, minimally invasive surgery increases the operative difficulty since the depth perception is usually dramatically reduced, the field of view is limited and the sense of touch is transmitted by an instrument. However, these drawbacks can currently be reduced by computer technology guiding the surgical gesture. Indeed, from a patient's medical image (US, CT or MRI), Augmented Reality (AR) can increase the surgeon's intra-operative vision by providing a virtual transparency of the patient. AR is based on two main processes: the 3D visualization of the anatomical or pathological structures appearing in the medical image, and the registration of this visualization on the real patient. 3D visualization can be performed directly from the medical image without the need for a pre-processing step thanks to volume rendering. But better results are obtained with surface rendering after organ and pathology delineations and 3D modelling. Registration can be performed interactively or automatically. Several interactive systems have been developed and applied to humans, demonstrating the benefit of AR in surgical oncology. It also shows the current limited interactivity due to soft organ movements and interaction between surgeon instruments and organs. If the current automatic AR systems show the feasibility of such system, it is still relying on specific and expensive equipment which is not available in clinical routine. Moreover, they are not robust enough due to the high complexity of developing a real-time registration taking organ deformation and human movement into account. However, the latest results of automatic AR systems are extremely encouraging and show that it will become a standard requirement for future computer-assisted surgical oncology. In this article, we will explain the concept of AR and its principles. Then, we will review the existing interactive and automatic AR systems in digestive surgical oncology, highlighting their benefits and limitations. Finally, we will discuss the future evolutions and the issues that still have to be tackled so that this technology can be seamlessly integrated in the operating room.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21802281     DOI: 10.1016/j.suronc.2011.07.002

Source DB:  PubMed          Journal:  Surg Oncol        ISSN: 0960-7404            Impact factor:   3.279


  59 in total

1.  Towards cybernetic surgery: robotic and augmented reality-assisted liver segmentectomy.

Authors:  Patrick Pessaux; Michele Diana; Luc Soler; Tullio Piardi; Didier Mutter; Jacques Marescaux
Journal:  Langenbecks Arch Surg       Date:  2014-11-13       Impact factor: 3.445

2.  Deformable three-dimensional model architecture for interactive augmented reality in minimally invasive surgery.

Authors:  Anant S Vemuri; Jungle Chi-Hsiang Wu; Kai-Che Liu; Hurng-Sheng Wu
Journal:  Surg Endosc       Date:  2012-06-27       Impact factor: 4.584

3.  Dense soft tissue 3D reconstruction refined with super-pixel segmentation for robotic abdominal surgery.

Authors:  Veronica Penza; Jesús Ortiz; Leonardo S Mattos; Antonello Forgione; Elena De Momi
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-09-26       Impact factor: 2.924

4.  Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer.

Authors:  Yuichiro Hayashi; Kazunari Misawa; Masahiro Oda; David J Hawkes; Kensaku Mori
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-10-01       Impact factor: 2.924

5.  Augmented Reality Guidance for the Resection of Missing Colorectal Liver Metastases: An Initial Experience.

Authors:  Dimitrios Ntourakis; Ricardo Memeo; Luc Soler; Jacques Marescaux; Didier Mutter; Patrick Pessaux
Journal:  World J Surg       Date:  2016-02       Impact factor: 3.352

6.  Augmented reality-guided artery-first pancreatico-duodenectomy.

Authors:  Ettore Marzano; Tullio Piardi; Luc Soler; Michele Diana; Didier Mutter; Jacques Marescaux; Patrick Pessaux
Journal:  J Gastrointest Surg       Date:  2013-08-14       Impact factor: 3.452

7.  Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging.

Authors:  Hannes G Kenngott; Martin Wagner; Matthias Gondan; Felix Nickel; Marco Nolden; Andreas Fetzer; Jürgen Weitz; Lars Fischer; Stefanie Speidel; Hans-Peter Meinzer; Dittmar Böckler; Markus W Büchler; Beat P Müller-Stich
Journal:  Surg Endosc       Date:  2013-11-01       Impact factor: 4.584

8.  Electromagnetic organ tracking allows for real-time compensation of tissue shift in image-guided laparoscopic rectal surgery: results of a phantom study.

Authors:  M Wagner; M Gondan; C Zöllner; J J Wünscher; F Nickel; L Albala; A Groch; S Suwelack; S Speidel; L Maier-Hein; B P Müller-Stich; H G Kenngott
Journal:  Surg Endosc       Date:  2015-06-23       Impact factor: 4.584

9.  European Association of Endoscopic Surgeons (EAES) consensus statement on the use of robotics in general surgery.

Authors:  Amir Szold; Roberto Bergamaschi; Ivo Broeders; Jenny Dankelman; Antonello Forgione; Thomas Langø; Andreas Melzer; Yoav Mintz; Salvador Morales-Conde; Michael Rhodes; Richard Satava; Chung-Ngai Tang; Ramon Vilallonga
Journal:  Surg Endosc       Date:  2014-11-08       Impact factor: 4.584

10.  Randomized, controlled trial comparing clinical outcomes of 3D and 2D laparoscopic surgery for gastric cancer: an interim report.

Authors:  Jun Lu; Chao-Hui Zheng; Hua-Long Zheng; Ping Li; Jian-Wei Xie; Jia-Bin Wang; Jian-Xian Lin; Qi-Yue Chen; Long-Long Cao; Mi Lin; Ru-Hong Tu; Chang-Ming Huang
Journal:  Surg Endosc       Date:  2016-11-08       Impact factor: 4.584

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