The status of augmented reality in laparoscopic surgery as of 2016

S Bernhardt, SA Nicolau, L Soler, C Doignon - Medical image analysis, 2017 - Elsevier
This article establishes a comprehensive review of all the different methods proposed by the
literature concerning augmented reality in intra-abdominal minimally invasive surgery (also …

Patient-specific biomechanical modeling for guidance during minimally-invasive hepatic surgery

R Plantefeve, I Peterlik, N Haouchine… - Annals of biomedical …, 2016 - Springer
During the minimally-invasive liver surgery, only the partial surface view of the liver is
usually provided to the surgeon via the laparoscopic camera. Therefore, it is necessary to …

Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks

M Pfeiffer, C Riediger, J Weitz, S Speidel - International journal of …, 2019 - Springer
Purpose In surgical navigation, pre-operative organ models are presented to surgeons
during the intervention to help them in efficiently finding their target. In the case of soft tissue …

Vision-based force feedback estimation for robot-assisted surgery using instrument-constrained biomechanical three-dimensional maps

N Haouchine, W Kuang, S Cotin… - IEEE Robotics and …, 2018 - ieeexplore.ieee.org
We present a method for estimating visual and haptic force feedback on robotic surgical
systems that currently do not include significant force feedback for the operator. Our …

StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy

F Bardozzo, T Collins, A Forgione, A Hostettler… - Medical Image …, 2022 - Elsevier
Developing accurate and real-time algorithms for a non-invasive three-dimensional
representation and reconstruction of internal patient structures is one of the main research …

[HTML][HTML] Comparison of manual and semi-automatic registration in augmented reality image-guided liver surgery: a clinical feasibility study

C Schneider, S Thompson, J Totz, Y Song, M Allam… - Surgical …, 2020 - Springer
Background The laparoscopic approach to liver resection may reduce morbidity and hospital
stay. However, uptake has been slow due to concerns about patient safety and oncological …

Intraoperative correction of liver deformation using sparse surface and vascular features via linearized iterative boundary reconstruction

JS Heiselman, WR Jarnagin… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
During image guided liver surgery, soft tissue deformation can cause considerable error
when attempting to achieve accurate localization of the surgical anatomy through image-to …

Non-rigid volume to surface registration using a data-driven biomechanical model

M Pfeiffer, C Riediger, S Leger, JP Kühn… - … Image Computing and …, 2020 - Springer
Non-rigid registration is a key component in soft-tissue navigation. We focus on laparoscopic
liver surgery, where we register the organ model obtained from a preoperative CT scan to …

ResNet-LDDMM: advancing the LDDMM framework using deep residual networks

BB Amor, S Arguillère, L Shao - IEEE Transactions on Pattern …, 2022 - ieeexplore.ieee.org
In deformable registration, the Riemannian framework–Large Deformation Diffeomorphic
Metric Mapping, or LDDMM for short–has inspired numerous techniques for comparing …

Robotic insertion of flexible needle in deformable structures using inverse finite-element simulation

Y Adagolodjo, L Goffin, M De Mathelin… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper introduces a new approach for the control of a robotic system interacting with
deformable structures. The method is applied to needle insertion procedures, which are …