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149 results on '"Courtecuisse, Hadrien"'

1. An efficient implicit constraint resolution scheme for interactive FE simulations

Author

Zeng, Ziqiu and Courtecuisse, Hadrien

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

This paper presents a novel implicit scheme for the constraint resolution in real-time finite element simulations in the presence of contact and friction. Instead of using the standard motion correction scheme, we propose an iterative method where the constraint forces are corrected in Newton iterations. In this scheme, we are able to update the constraint directions recursively, providing more accurate contact and friction response. However, updating the constraint matrices leads to massive computation costs. To address the issue, we propose separating the constraint direction and geometrical mapping in the contact Jacobian matrix and reformulating the schur-complement of the system matrix. When combined with GPU-based parallelization, the reformulation provides a very efficient updating process for the constraint matrices in the recursive corrective motion scheme. Our method enables the possibility to handle the inconsistency of constraint directions at the beginning and the end of time steps. At the same time, the resolution process is kept as efficient as possible. We evaluate the performance of our fast-updating scheme in a contact simulation and compare it with the standard updating scheme.

Published
2023

2. Efficient parallelization strategy for real-time FE simulations

Author

Zeng, Ziqiu and Courtecuisse, Hadrien

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

This paper introduces an efficient and generic framework for finite-element simulations under an implicit time integration scheme. Being compatible with generic constitutive models, a fast matrix assembly method exploits the fact that system matrices are created in a deterministic way as long as the mesh topology remains constant. Using the sparsity pattern of the assembled system brings about significant optimizations on the assembly stage. As a result, developed techniques of GPU-based parallelization can be directly applied with the assembled system. Moreover, an asynchronous Cholesky precondition scheme is used to improve the convergence of the system solver. On this basis, a GPU-based Cholesky preconditioner is developed, significantly reducing the data transfer between the CPU/GPU during the solving stage. We evaluate the performance of our method with different mesh elements and hyperelastic models and compare it with typical approaches on the CPU and the GPU.

Published
2023

3. Towards Realistic Needle Insertion Training Simulator Using Partitioned Model Order Reduction

Author

Vanneste, Félix, Martin, Claire, Goury, Olivier, Courtecuisse, Hadrien, Pernod, Erik, Cotin, Stephane, Duriez, Christian, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Linguraru, Marius George, editor, Dou, Qi, editor, Feragen, Aasa, editor, Giannarou, Stamatia, editor, Glocker, Ben, editor, Lekadir, Karim, editor, and Schnabel, Julia A., editor

Published
2024
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4. Robotic needle steering in deformable tissues with extreme learning machines

Author

Perrusi, Pedro Henrique Suruagy, Cazzaniga, Anna, Baksic, Paul, Tagliabue, Eleonora, de Momi, Elena, and Courtecuisse, Hadrien

Subjects
Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing
Abstract

Control strategies for robotic needle steering in soft tissues must account for complex interactions between the needle and the tissue to achieve accurate needle tip positioning. Recent findings show faster robotic command rate can improve the control stability in realistic scenarios. This study proposes the use of Extreme Learning Machines to provide fast commands for robotic needle steering. A synthetic dataset based on the inverse finite element simulation control framework is used to train the model. Results show the model is capable to infer commands 66% faster than the inverse simulation and reaches acceptable precision even on previously unseen trajectories.

Published
2021

5. Calipso: Physics-based Image and Video Editing through CAD Model Proxies

Author

Haouchine, Nazim, Roy, Frederick, Courtecuisse, Hadrien, Nießner, Matthias, and Cotin, Stephane

Subjects
Computer Science - Graphics, Computer Science - Computer Vision and Pattern Recognition
Abstract

We present Calipso, an interactive method for editing images and videos in a physically-coherent manner. Our main idea is to realize physics-based manipulations by running a full physics simulation on proxy geometries given by non-rigidly aligned CAD models. Running these simulations allows us to apply new, unseen forces to move or deform selected objects, change physical parameters such as mass or elasticity, or even add entire new objects that interact with the rest of the underlying scene. In Calipso, the user makes edits directly in 3D; these edits are processed by the simulation and then transfered to the target 2D content using shape-to-image correspondences in a photo-realistic rendering process. To align the CAD models, we introduce an efficient CAD-to-image alignment procedure that jointly minimizes for rigid and non-rigid alignment while preserving the high-level structure of the input shape. Moreover, the user can choose to exploit image flow to estimate scene motion, producing coherent physical behavior with ambient dynamics. We demonstrate Calipso's physics-based editing on a wide range of examples producing myriad physical behavior while preserving geometric and visual consistency., Comment: 11 pages

Published
2017

6. Controlling the Error on Target Motion through Real-time Mesh Adaptation: Applications to Deep Brain Stimulation

Author

Bui, Huu Phuoc, Tomar, Satyendra, Courtecuisse, Hadrien, Audette, Michel, Cotin, Stéphane, and Bordas, Stéphane P. A.

Subjects
Computer Science - Computational Engineering, Finance, and Science, Quantitative Biology - Neurons and Cognition
Abstract

We present an error-controlled mesh refinement procedure for needle insertion simulation and apply it to the simulation of electrode implantation for deep brain stimulation, including brain shift. Our approach enables to control the error in the computation of the displacement and stress fields around the needle tip and needle shaft by suitably refining the mesh, whilst maintaining a coarser mesh in other parts of the domain. We demonstrate through academic and practical examples that our approach increases the accuracy of the displacement and stress fields around the needle without increasing the computational expense. This enables real-time simulations. The proposed methodology has direct implications to increase the accuracy and control the computational expense of the simulation of percutaneous procedures such as biopsy, brachytherapy, regional anesthesia, or cryotherapy and can be essential to the development of robotic guidance., Comment: 21 pages, 14 figures

Published
2017
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7. Real-time Error Control for Surgical Simulation

Author

Bui, Huu Phuoc, Tomar, Satyendra, Courtecuisse, Hadrien, Cotin, Stéphane, and Bordas, Stéphane

Subjects
Computer Science - Numerical Analysis, Computer Science - Computational Engineering, Finance, and Science
Abstract

Objective: To present the first real-time a posteriori error-driven adaptive finite element approach for real-time simulation and to demonstrate the method on a needle insertion problem. Methods: We use corotational elasticity and a frictional needle/tissue interaction model. The problem is solved using finite elements within SOFA. The refinement strategy relies upon a hexahedron-based finite element method, combined with a posteriori error estimation driven local $h$-refinement, for simulating soft tissue deformation. Results: We control the local and global error level in the mechanical fields (e.g. displacement or stresses) during the simulation. We show the convergence of the algorithm on academic examples, and demonstrate its practical usability on a percutaneous procedure involving needle insertion in a liver. For the latter case, we compare the force displacement curves obtained from the proposed adaptive algorithm with that obtained from a uniform refinement approach. Conclusions: Error control guarantees that a tolerable error level is not exceeded during the simulations. Local mesh refinement accelerates simulations. Significance: Our work provides a first step to discriminate between discretization error and modeling error by providing a robust quantification of discretization error during simulations., Comment: 12 pages, 16 figures, change of the title, submitted to IEEE TBME

Published
2016
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8. Computational Biomechanics of the Brain in the Operating Theatre

Author

Courtecuisse, Hadrien, Morin, Fanny, Reinertsen, Ingerid, Payan, Yohan, Chabanas, Matthieu, Gerstman, Bernard S., Editor-in-Chief, Aizawa, Masuo, Editorial Board Member, Austin, Robert H., Editorial Board Member, Barber, James, Editorial Board Member, Berg, Howard C., Editorial Board Member, Callender, Robert, Editorial Board Member, Feher, George, Editorial Board Member, Frauenfelder, Hans, Editorial Board Member, Giaever, Ivar, Editorial Board Member, Joliot, Pierre, Editorial Board Member, Keszthelyi, Lajos, Editorial Board Member, King, Paul W., Editorial Board Member, Lazzi, Gianluca, Editorial Board Member, Lewis, Aaron, Editorial Board Member, Lindsay, Stuart M., Editorial Board Member, Liu, Xiang Yang, Editorial Board Member, Mauzerall, David, Editorial Board Member, Mielczarek, Eugenie V., Editorial Board Member, Niemz, Markolf, Editorial Board Member, Parsegian, V. Adrian, Editorial Board Member, Powers, Linda S., Editorial Board Member, Prohofsky, Earl W., Editorial Board Member, Rostovtseva, Tatiana K., Editorial Board Member, Rubin, Andrew, Editorial Board Member, Seibert, Michael, Editorial Board Member, Tao, Nongjian, Editorial Board Member, Thomas, David, Editorial Board Member, and Miller, Karol, editor

Published
2019
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13. Haptic Rendering on Deformable Anatomical Tissues with Strong Heterogeneities

Author

Kazmitcheff, Guillaume, Courtecuisse, Hadrien, Nguyen, Yann, Miroir, Mathieu, Grayeli, Alexis Bozorg, Cotin, Stéphane, Sterkers, Olivier, Duriez, Christian, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Auvray, Malika, editor, and Duriez, Christian, editor

Published
2014
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14. Atlas-Based Transfer of Boundary Conditions for Biomechanical Simulation

Author

Plantefève, Rosalie, Peterlik, Igor, Courtecuisse, Hadrien, Trivisonne, Raffaella, Radoux, Jean-Pierre, Cotin, Stephane, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Golland, Polina, editor, Hata, Nobuhiko, editor, Barillot, Christian, editor, Hornegger, Joachim, editor, and Howe, Robert, editor

Published
2014
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15. Model-Based Identification of Anatomical Boundary Conditions in Living Tissues

Author

Peterlik, Igor, Courtecuisse, Hadrien, Duriez, Christian, Cotin, Stéphane, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Stoyanov, Danail, editor, Collins, D. Louis, editor, Sakuma, Ichiro, editor, Abolmaesumi, Purang, editor, and Jannin, Pierre, editor

Published
2014
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16. Towards Real-Time Computation of Cardiac Electrophysiology for Training Simulator

Author

Talbot, Hugo, Duriez, Christian, Courtecuisse, Hadrien, Relan, Jatin, Sermesant, Maxime, Cotin, Stéphane, Delingette, Hervé, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Camara, Oscar, editor, Mansi, Tommaso, editor, Pop, Mihaela, editor, Rhode, Kawal, editor, Sermesant, Maxime, editor, and Young, Alistair, editor

Published
2013
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18. Preconditioner-Based Contact Response and Application to Cataract Surgery

Author

Courtecuisse, Hadrien, Allard, Jérémie, Duriez, Christian, Cotin, Stéphane, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Fichtinger, Gabor, editor, Martel, Anne, editor, and Peters, Terry, editor

Published
2011
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21. Contributors

Author

Adam, Clayton, primary, Ambrosi, Davide, additional, Anderson, Peter, additional, Avril, Stéphane, additional, Babarenda Gamage, Thiranja P., additional, Badel, Pierre, additional, Bellini, Chiara, additional, Blemker, Silvia S., additional, Boubaker, Mohamed Bader, additional, Bovendeerd, Peter H.M., additional, Bucki, Marek, additional, Calvo, Begonã, additional, Cannard, Francis, additional, Chabanas, Matthieu, additional, Chagnon, Grégory, additional, Chatelin, Simon, additional, Courtecuisse, Hadrien, additional, Curt, Nicolas, additional, Cyron, Christian J., additional, Delhaas, Tammo, additional, Delingette, Hervé, additional, Di Martino, Elena S., additional, Dumas, Raphaël, additional, Dupuis, Olivier, additional, Favier, Denis, additional, Fels, Sidney, additional, Fereidoonnezhad, Behrooz, additional, Finet, Gérard, additional, Flynn, Cormac, additional, Frauziols, Fanny, additional, Ganghoffer, Jean-François, additional, Garcia, Alberto, additional, Gasser, Thomas C., additional, Gharib, Ahmed M., additional, Glass, Paul, additional, Gregersen, Hans, additional, Harandi, Negar M., additional, Hermant, Nicolas, additional, Hernández-Gascón, Belén, additional, Ho, Andrew, additional, Holzapfel, Gerhard A., additional, Humphrey, Jay D., additional, Lafon, Yoann, additional, Laporte, Sébastien, additional, Liao, Donghua, additional, Luboz, Vincent, additional, Malvè, Mauro, additional, Marchesseau, Stéphanie, additional, Martiel, Jean-Louis, additional, Moisik, Scott, additional, Molimard, Jérôme, additional, Morin, Fanny, additional, Nash, Martyn P., additional, Navarro, Laurent, additional, Nazari, Mohammad Ali, additional, Nielsen, Poul M.F., additional, Ohayon, Jacques, additional, Oomens, Cees W.J., additional, Payan, Yohan, additional, Peña, Estefanía, additional, Perrier, Pascal, additional, Perrier, Antoine, additional, Peters, Gerrit W.M., additional, Pettigrew, Roderic I., additional, Pioletti, Dominique P., additional, Pluijmert, Marieke, additional, Rakotomanana, Lalao, additional, Rohan, Pierre-Yves, additional, Rouch, Philippe, additional, Sánchez, C. Antonio, additional, Skalli, Wafa, additional, Stavness, Ian, additional, Stelletta, Julien, additional, Tang, Keyi, additional, Van den Abbeele, Maxim, additional, Vijven, Marc van, additional, Vogel, Arne, additional, Vuillerme, Nicolas, additional, Wilson, John S., additional, Yazdani, Saami K., additional, Zara, Florence, additional, and Zhao, Jingbo, additional

Published
2017
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23. Real-time Finite Element simulations for surgical assistance - applications to training, augmented reality and robotic control

Author

Courtecuisse, Hadrien, Automatique, Vision et Robotique [Strasbourg] (AVR), Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection (LSIIT), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Computational Anatomy and Simulation for Medicine (MIMESIS), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), Université de strasbourg, Jocelyne Troccaz, Courtecuisse, Hadrien, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

Subjects
Medical simulation, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Simulation médicale
Abstract

The end of the 1980s marked a turning point since which Minimally Invasive Surgery (MIS) has been progressively recognized as a safe and effective approach to meet surgical needs while decreasingthe rates of complications and traumas for patients. In less than 20 years, it has become the gold standard for many practitioners and has completely revolutionized how surgery is approached in developed countries.

Published
2021

32. Position-based simulation of deformations for autonomous robotic ultrasound scanning

Author

Tagliabue, Eleonora, Dall'Alba, Diego, Magnabosco, Enrico, Tenga, Chiara, Peterlik, Igor, Courtecuisse, Hadrien, and Fiorini, Paolo

Subjects
Autonomous robotic ultrasound scanning, position-based dynamics, robot simulation
Abstract

Realistic and fast simulation of anatomical deforma- tions due to ultrasound probe pressure is of outstanding impor- tance for testing and validation of autonomous robotic ultrasound systems. We propose a deformation model which relies on the position-based dynamics (PBD) approach to simulate the probe- tissue interaction and predict the displacement of internal targets during US acquisition. Performances of the patient-specific PBD anatomical model are evaluated in comparison to two different simulations relying on the traditional finite element (FE) method, in the context of breast ultrasound scanning. Localization error obtained when applying the PBD model remains below 11 mm for all the tumors even for input displacements in the order of 30 mm. The proposed method is able to achieve a better trade-off among accuracy, computation time and generalization capabilities with respect to the two FE models. Position-based dynamics approach has proved to be successful in modeling breast tissue deformations during US acquisition. It represents a valid alternative to classical FE methods for simulating the interaction between US probe and tissues., https://youtu.be/cAlOJ4JZKt8

Published
2019
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33. FEM-based confidence assessment of non-rigid registration

Author

Baksic, Paul, Courtecuisse, Hadrien, Chabanas, Matthieu, Bayle, Bernard, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Gestes Medico-chirurgicaux Assistés par Ordinateur (TIMC-IMAG-GMCAO), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Computational Anatomy and Simulation for Medicine (MIMESIS), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), SOFA Framework, ANR-18-CE33-0007,SPERRY,CHIRURGIE ROBOTIQUE SUPERVISÉE - APPLICATION A L'ABLATION RADIOFREQUENCE DES TUMEURS DU FOIE(2018), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE)

Subjects
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Abstract

International audience; Non-rigid registration is often used for 3D representations during surgical procedures. It needs to provide good precision in order to guide the surgeon properly. We propose here a method that allows the computation of a local upper bound of the registration confidence over the whole organ volume. Using a bio-mechanical model, we apply tearing forces over the whole organ to compute the upper bound of the degrees of freedom left by the registrations constraints. Confrontation of our method with experimental data shows promising results to estimate the registration confidence. Indeed, the computed maximum error appears to be a real upper bound.

Published
2019

36. Real-time Error Control for Surgical Simulation: Application to Percutaneous Interventions

Author

Bui, Huu Phuoc, Tomar, Satyendra, Courtecuisse, Hadrien, Cotin, Stéphane, Bordas, Stéphane, and University of Strasbourg USIAS [sponsor]

Subjects
FEM, real-time simulation, Ingénierie mécanique [C10] [Ingénierie, informatique & technologie], needle insertion, Mechanical engineering [C10] [Engineering, computing & technology], error estimate, percutaneous interventions
Published
2017

37. Simulation software for periprosthetic femoral fracture

Author

Ehlinger, Matthieu, Courtecuisse, Hadrien, Adam, Philippe, Bonnomet, Francois, Baumgartner, Daniel, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Published
2017

38. Periprosthetic femoral fracture simulation software for minimally invasive surgery

Author

Ehlinger, Matthieu, Courtecuisse, Hadrien, Fravreau, Henri, d'Ambrosio, Adrien, Adam, Philippe, Bonnomet, François, Baumgartner, Daniel, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Published
2017

45. Real-time Error Control for Surgical Simulation

Author

University of Strasbourg Institute for Advanced Study (BPC 14/Arc 10138) [sponsor], European project RASimAs (FP7 ICT-2013.5.2 No610425) [sponsor], Phuoc Bui, Huu, Tomar, Satyendra, Courtecuisse, Hadrien, Cotin, Stéphane, Bordas, Stéphane, University of Strasbourg Institute for Advanced Study (BPC 14/Arc 10138) [sponsor], European project RASimAs (FP7 ICT-2013.5.2 No610425) [sponsor], Phuoc Bui, Huu, Tomar, Satyendra, Courtecuisse, Hadrien, Cotin, Stéphane, and Bordas, Stéphane

Abstract

To present the first real-time a posteriori error-driven adaptive finite element approach for realtime simulation and to demonstrate the method on a needle insertion problem. Methods: We use corotational elasticity and a frictional needle/tissue interaction model. The problem is solved using finite elements within SOFA. The refinement strategy relies upon a hexahedron-based finite element method, combined with a posteriori error estimation driven local h-refinement, for simulating soft tissue deformation. Results: We control the local and global error level in the mechanical fields (e.g. displacement or stresses) during the simulation. We show the convergence of the algorithm on academic examples, and demonstrate its practical usability on a percutaneous procedure involving needle insertion in a liver. For the latter case, we compare the force displacement curves obtained from the proposed adaptive algorithm with that obtained from a uniform refinement approach. Conclusions: Error control guarantees that a tolerable error level is not exceeded during the simulations. Local mesh refinement accelerates simulations. Significance: Our work provides a first step to discriminate between discretization error and modeling error by providing a robust quantification of discretization error during simulations.

Published
2017

46. 3D Physics-Based Registration of 2D Dynamic MRI Data

Author

Trivisonne, Raffaella, Peterlik, Igor, Cotin, Stéphane, Courtecuisse, Hadrien, L'Institut hospitalo-universitaire de Strasbourg (IHU Strasbourg), Institut National de Recherche en Informatique et en Automatique (Inria)-l'Institut de Recherche contre les Cancers de l'Appareil Digestif (IRCAD)-Les Hôpitaux Universitaires de Strasbourg (HUS)-La Fédération des Crédits Mutuels Centre Est (FCMCE)-L'Association pour la Recherche contre le Cancer (ARC)-La société Karl STORZ, Computational Anatomy and Simulation for Medicine (MIMESIS), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Institute of Computer Science [Brno] (ICS / MUNI), Masaryk University [Brno] (MUNI), SOFA, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
FEM, Dynamic MRI, [INFO]Computer Science [cs], Non-Rigid Registration, Robotic assistance
Abstract

International audience; We present a method allowing for intra-operative targeting of a specific anatomical feature. The method is based on a registration of 3D pre-operative data to 2D intra-operative images. Such registration is performed using an elastic model reconstructed from the 3D images, in combination with sliding constraints imposed via Lagrange multipliers. We register the pre-operative data, where the feature is clearly detectable, to intra-operative dynamic images where such feature is no more visible. Despite the lack of visibility on the 2D MRI images, we are able both to determine the location of the target as well as follow its displacement due to respiratory motion.

Published
2016

50. Domain Decomposition for real time Simulation of needle insertion

Author

Adagolodjo, Yinoussa, Courtecuisse, Hadrien, Trivisonne, Raffaella, Goffin, Laurent, Bordas, Stephane Pierre-Alain, de Mathelin, Michel, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), L'Institut hospitalo-universitaire de Strasbourg (IHU Strasbourg), Institut National de Recherche en Informatique et en Automatique (Inria)-l'Institut de Recherche contre les Cancers de l'Appareil Digestif (IRCAD)-Les Hôpitaux Universitaires de Strasbourg (HUS)-La Fédération des Crédits Mutuels Centre Est (FCMCE)-L'Association pour la Recherche contre le Cancer (ARC)-La société Karl STORZ, School of Engineering [Cardiff], Cardiff University, Sofa, Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Interaction modeling, Deformabel models, [MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM], [INFO]Computer Science [cs], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Domain Decomposition, Needle Insertion, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Abstract

International audience; Our goal is to develop robotized needle insertion for drug delivery in small animals. We control the robot with a real-time Finite Element simulation that provides accurate models of the deformable environment. To predict the deformations we need to solve a contact problem which is known to be time consuming. To reduce the computational time we use the domain decomposition method: the FE mesh is split in several domains in order to extract paral-lelism for GPU computing and to concentrate the computation time around the needle.

Published
2015

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