In cancer research, early detection and surgical treatment of tumors allow to improve the survival rate of patients. However, surgical interventions remain a complex procedure that could be highly improved by the development of computer-assisted surgery. Such an improvement can be summarized in four major steps:
- The first one consists in automated 3D modelling of patients from their medical images.
- The second one consists in using this modelling in surgical planning and simulation software, offering then the opportunity to train the surgical gesture before carrying it out.
- The third step consists in intraoperatively superimposing preoperative data onto the real view of patients. This Augmented Reality provides surgeons a view in transparency of their patient allowing to track instruments and improve pathology targeting.
- The last one consists in robotizing the procedure by replacing human gesture with robotic gesture that can be automatized (AVR team of iCube).
R&D / Computer Science
Luc SOLER R&D Director
Pamela LHOTE R&D Assistant
R&D Computer Science
Vincent AGNUS 4D / Segmentation
Alexandre HOSTETTLER Breathing simulation / Ultrasound
Johan MOREAU ICT manager
Stéphane NICOLAU Augmented reality
Pascal MONNIER Development engineer
Marc SCHWEITZER Development engineer
Frédéric CHAMP Development engineer
Flavien BRIDAULT Development engineer
Emilie HARQUEL IDevelopment engineer
Julien WAECHTER Development engineer
Jessica GROMER Postdoctorate research fellow
Jordan BANO Postdoctorate research fellow
Anant VEMURI IRCAD / IHU
Sylvain BERNHARDT IRCAD / IHU
Wenwu ZHU IRCAD
3 apprentices in work-study programs for a period of 3 years
3 students pursuing an engineering degree for a 6-month training end-of-course internship