Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery

Authors

HAOUCHINE Nazim COTIN Stephane PETERLÍK Igor DEQUIDT Jeremie LOPEZ Mario Sanz KERRIEN Erwan BERGER Marie-Odile

Year of publication 2015
Type Article in Periodical
Magazine / Source IEEE Transactions on Visualization and Computer Graphics
MU Faculty or unit

Institute of Computer Science

Citation
Web https://hal.inria.fr/hal-01136728
Doi http://dx.doi.org/10.1109/TVCG.2014.2377772
Field Informatics
Keywords Image-guided Simulation; Biomechanical Modeling; Real-Time Augmented Reality; Computer Assisted Surgery
Description This paper presents a method for real-time augmented reality of internal liver structures during minimally invasive hepatic surgery. Vessels and tumors computed from pre-operative CT scans can be overlaid onto the laparoscopic view for surgery guidance. Compared to current methods, our method is able to locate the in-depth positions of the tumors based on partial three-dimensional liver tissue motion using a real-time biomechanical model. This model permits to properly handle the motion of internal structures even in the case of anisotropic or heterogeneous tissues, as it is the case for the liver and many anatomical structures. Experimentations conducted on phantom liver permits to measure the accuracy of the augmentation while real-time augmentation on in vivo human liver during real surgery shows the benefits of such an approach for minimally invasive surgery.
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