Despite the improvements in surgical techniques and tools, some surgical interventions remain very challenging. This is the case of the abdominal minimally invasive surgery where both the haptic and visual feedbacks are limited since only a partial view of the organ surface is visible through the endoscopic camera. Moreover, due to the pneumoperitoneum the abdominal organs undergo important deformations when compared to the initial shape available from the pre-operative CT or MRI scans. Nonetheless, correct identification of internal structures (vessels, tumors) remains the crucial aspect of the intervention.  

I've contributed to the methods developed by Inria team Mimesis. The goal is to employ a real-time finite element model of liver reconstructed from the pre-operative data to augment the intra-operative view. 

R.Plantefeve et al.: Patient-specific Biomechanical Modeling for Guidance during Minimally-invasive Hepatic Surgery, ABME, 2015.

B.Marquez et al.: Framework for augmented reality in Minimally Invasive laparoscopic surgery, HealthCom, 2015.

N.Haouchine et al.: Image-guided Simulation of Heterogeneous Tissue Deformation For Augmented Reality during Hepatic Surgery, ISMAR 2013

N.Haouchine et al.: Towards an Accurate Tracking of Liver Tumors for Augmented Reality in Robotic Assisted Surgery, ICRA 2013