Augmented reality for open liver surgery


We are looking for a highly motivated student to work on augmented reality and guidance for open liver surgery.

The position will take place in Strasbourg within the MIMESIS team from Inria, the French National Institute for Computer Science and Applied Mathematics.

Primary liver cancer is the sixth most common cancer, the third most common cause of death from cancer and liver metastases result in an estimated 600,000 deaths per year’s worldwide. Hepatic resection represents one of the few potentially curative treatments, for large tumors. In spite of recent advances, surgeons have to deal with two opposite goals: a complete removal of all the tumor tissue while preserving preserving as much as possible functional tissue. To guide surgeons, the main tool used for decades remains the ultrasonography. However, this requires radiological skills and mental effort to rebuild the 3-dimensional anatomy. Because of all these difficulties, we aim to develop an augmented reality (AR) system to help surgeons..


The goal of this work is to develop new techniques for intraoperative augmented reality for open liver surgery. The MIMESIS team has a large experience in Augmented Reality for surgery. We have proposed several numerical approaches to register a pre-operatively built 3d model during the surgery in order to provide visual assistance to surgeons. Current solutions proposed by the team focus on image-based tracking, model based registration and real-time computations. Since open surgery implies unavoidable occlusions and significant deformations of the organs, we rely on optical markers tracked by infrared cameras, and a biomechanical model to provide robust tracking of the organ per operatively. An important challenge of this position will be to bring the current research prototype to the operating room, raising this way many scientific and technical challenges. This work will done in collaboration surgeons at the hospital Paul-Brousse in Paris who will provide access to the operating room.

Qualifications for applicants

  • Master of science in applied mathematics and/or computer science is required.
  • Good to excellent expertise in C++.
  • Special interests for and competence within medical technology, medical imaging,
  • Development of technology for improved image guided patient diagnostics and therapy.
  • Practical experience with research methods, and R&D.
  • Collaborative skills, initiative, ability to accomplish tasks.
  • Practical skills, and ability to create and establish new projects in collaboration with colleagues


photo of Hadrien Courtecuisse

Hadrien Courtecuisse

Research Scientist
photo of Stephane Cotin, team leader

Stéphane Cotin

Research Director