title: Augmented reality in laparoscopic surgical oncology.
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.
authors.affiliation: IRCAD/EITS, Hôpitaux Universitaires de Strasbourg, Digestive and Endocrine Surgery, 1 Place de l'Hôpital, 67091 Strasbourg Cedex, France.
authors.forename: Stéphane
authors.initials: S
authors.lastname: Nicolau
authors.forename: Luc
authors.initials: L
authors.lastname: Soler
authors.forename: Didier
authors.initials: D
authors.lastname: Mutter
authors.forename: Jacques
authors.initials: J
authors.lastname: Marescaux
mesh_terms: D003198:Computer Simulation; D003952:Diagnostic Imaging; D013502:General Surgery; D006801:Humans; D007091:Image Processing, Computer-Assisted; D010535:Laparoscopy; D008495:Medical Oncology; D019060:Minimally Invasive Surgical Procedures; D009369:Neoplasms / Q000473:pathology / Q000601:surgery*; D012984:Software