Search results for: Stéphane Cotin

Items from 1 to 20 out of 57 results

article

DeepPhysics: A physics aware deep learning framework for real‐time simulation

Alban Odot, Ryadh Haferssas, Stephane Cotin

International Journal for Numerical Methods in Engineering > 123 > 10 > 2381 - 2398

Real‐time simulation of elastic structures is essential in many applications, from computer‐guided surgical interventions to interactive design in mechanical engineering. The finite element method is often used as the numerical method of reference for solving the partial differential equations associated with these problems. Deep learning methods have recently shown that they could represent an alternative...

article

Force classification during robotic interventions through simulation-trained neural networks

Andrea Mendizabal, Raphael Sznitman, Stephane Cotin

International Journal of Computer Assisted Radiology and Surgery > 2019 > 14 > 9 > 1601-1610

PurposeIntravitreal injection is among the most frequent treatment strategies for chronic ophthalmic diseases. The last decade has seen a serious increase in the number of intravitreal injections, and with it, adverse effects and drawbacks. To tackle these problems, medical assistive devices for robotized injections have been suggested and are projected to enhance delivery mechanisms for a new generation...

article

An open electromagnetic tracking framework applied to targeted liver tumour ablation

Stephen Hinds, Herman Alexander Jaeger, Richard Burke, Brodie O’Sullivan, more

International Journal of Computer Assisted Radiology and Surgery > 2019 > 14 > 9 > 1475-1484

Purpose Electromagnetic tracking is a core platform technology in the navigation and visualisation of image-guided procedures. The technology provides high tracking accuracy in non-line-of-sight environments, allowing instrument navigation in locations where optical tracking is not feasible. EMT can be beneficial in applications such as percutaneous radiofrequency ablation for the treatment of hepatic...

article

Quantifying the uncertainty in a hyperelastic soft tissue model with stochastic parameters

Paul Hauseux, Jack S. Hale, Stéphane Cotin, Stéphane P.A. Bordas

Applied Mathematical Modelling > 2018 > 62 > C > 86-102

We present a simple open-source semi-intrusive computational method to propagate uncertainties through hyperelastic models of soft tissues. The proposed method is up to two orders of magnitude faster than the standard Monte Carlo method. The material model of interest can be altered by adjusting few lines of (FEniCS) code. The method is able to (1) provide the user with statistical confidence intervals...

article

Controlling the error on target motion through real‐time mesh adaptation: Applications to deep brain stimulation

Huu Phuoc Bui, Satyendra Tomar, Hadrien Courtecuisse, Michel Audette, more

International Journal for Numerical Methods in Biomedical Engineering > 34 > 5 > n/a - n/a

An error‐controlled mesh refinement procedure for needle insertion simulations is presented. As an example, the procedure is applied for simulations of electrode implantation for deep brain stimulation. We take into account the brain shift phenomena occurring when a craniotomy is performed. We observe that the error in the computation of the displacement and stress fields is localised around the needle...

article

Biomechanics-based graph matching for augmented CT-CBCT

Jaime Garcia Guevara, Igor Peterlik, Marie-Odile Berger, Stéphane Cotin

International Journal of Computer Assisted Radiology and Surgery > 2018 > 13 > 6 > 805-813

Purpose Augmenting intraoperative cone beam computed tomography (CBCT) images with preoperative computed tomography data in the context of image-guided liver therapy is proposed. The expected benefit is an improved visualization of tumor(s), vascular system and other internal structures of interest. Method An automatic elastic registration based on matching of vascular trees extracted from both...

chapter

[POSTER] Deformed Reality: Proof of Concept and Preliminary Results

Nazim Haouchine, Antoine Petit, Frederick Roy, Stephane Cotin

2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct) > 166 - 167

2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)

We introduce “Deformed Reality”, a new paradigm to interactively manipulate objects in a scene in a deformable manner. Using the core principle of augmented reality to estimate rigid pose over time, our method enables the user to deform the targeted object while it is being rendered with its natural texture, giving the sense of a real-time object editing in user environment. The presented results...

chapter

Silhouette-based pose estimation for deformable organs application to surgical augmented reality

Yinoussa Adagolodjo, Raffaella Trivisonne, Nazim Haouchine, Stephane Cotin, more

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) > 539 - 544

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

In this paper we introduce a method for semiautomatic registration of 3D deformable models using 2D shape outlines (silhouettes) extracted from a monocular camera view. Our framework is based on the combination of a biomechanical model of the organ with a set of projective constraints influencing the deformation of the model. To enforce convergence towards a global minimum for this ill-posed problem...

chapter

Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers

Nazim Haouchine, Stephane Cotin

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) > 3578 - 3586

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

We present in this paper an efficient template-based method for 3D recovery of elastic shapes from a fixed monocular camera. By exploiting the objects elasticity, in contrast to isometric methods that use inextensibility constraints, a large range of deformations can be handled. Our method is expressed as a saddle point problem using Lagrangian multipliers resulting in a linear system which unifies...

article

Interactive training system for interventional electrocardiology procedures

Hugo Talbot, Federico Spadoni, Christian Duriez, Maxime Sermesant, more

Medical Image Analysis > 2017 > 35 > C > 225-237

Recent progress in cardiac catheterization and devices has allowed the development of new therapies for severe cardiac diseases like arrhythmias and heart failure. The skills required for such interventions are very challenging to learn, and are typically acquired over several years. Virtual reality simulators may reduce this burden by allowing trainees to practice such procedures without risk to...

article

Handling topological changes during elastic registration

Christoph J. Paulus, Nazim Haouchine, Seong-Ho Kong, Renato Vianna Soares, more

International Journal of Computer Assisted Radiology and Surgery > 2017 > 12 > 3 > 461-470

Purpose Locating the internal structures of an organ is a critical aspect of many surgical procedures. Minimally invasive surgery, associated with augmented reality techniques, offers the potential to visualize inner structures, allowing for improved analysis, depth perception or for supporting planning and decision systems. Methods Most of the current methods dealing with rigid or non-rigid augmented...

article

Robust augmented reality registration method for localization of solid organs’ tumors using CT-derived virtual biomechanical model and fluorescent fiducials

Seong-Ho Kong, Nazim Haouchine, Renato Soares, Andrey Klymchenko, more

Surgical Endoscopy > 2017 > 31 > 7 > 2863-2871

Background Augmented reality (AR) is the fusion of computer-generated and real-time images. AR can be used in surgery as a navigation tool, by creating a patient-specific virtual model through 3D software manipulation of DICOM imaging (e.g., CT scan). The virtual model can be superimposed to real-time images enabling transparency visualization of internal anatomy and accurate localization of tumors...

chapter

Metrics for Laparoscopic Skills Trainers: The Weakest Link!

Stephane Cotin, Nicholas Stylopoulos, Mark Ottensmeyer, Paul Neumann, more

Lecture Notes in Computer Science > Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002 > Robotics — Endoscopic Device > 35-43

Metrics are widely employed in virtual environments and provide a yardstick for performance measurement. The current method of defining metrics for medical simulation remains more an art than a science. Herein, we report a practical scientific approach to defining metrics, specifically aimed at computer-assisted laparoscopic skills training. We also propose a standardized global scoring system usable...

chapter

Using contours as boundary conditions for elastic registration during minimally invasive hepatic surgery

Nazim Haouchine, Frederick Roy, Lionel Untereiner, Stephane Cotin

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) > 495 - 500

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

We address in this paper the ill-posed problem of initial alignment of pre-operative to intra-operative data for augmented reality during minimally invasive hepatic surgery. This problem consists of finding the rigid transformation that relates the scanning reference and the endoscopic camera pose, and the non-rigid transformation undergone by the liver w.r.t its scanned state. Most of the state-of-the-art...

chapter

Simultaneous Pose Estimation and Augmentation of Elastic Surfaces from a Moving Monocular Camera

Nazim Haouchine, Marie-Odile Berger, Stephane Cotin

2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct) > 199 - 202

2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)

We present in this paper an original method to estimate the pose of a monocular camera while simultaneously modeling and capturing the elastic deformation of the object to be augmented. Our method tackles a challenging problem where ambiguities between rigid motion and non-rigid deformation are present. This issue represents a major lock for the establishment of an efficient surgical augmented reality...

chapter

Segmentation and labelling of intra-operative laparoscopic images using structure from point cloud

Nazim Haouchine, Stephane Cotin

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) > 115 - 118

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

We present in this paper an automatic method for segmenting and labelling the liver and its surrounding tissues in intraoperative laparoscopic images. The goal is to distinguish between the different structures that compose a intra-operative hepatic surgery scene to improve common registration tasks. Our segmentation method considers the scene as a 3D structured point cloud to exploit powerful informations...

chapter

A Segmentation and Reconstruction Technique for 3D Vascular Structures

Vincent Luboz, Xunlei Wu, Karl Krissian, Carl-Fredrik Westin, more

Lecture Notes in Computer Science > Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005 > Vascular Image Segmentation > 43-50

In the context of stroke therapy simulation, a method for the segmentation and reconstruction of human vasculature is presented and evaluated. Based on CTA scans, semi-automatic tools have been developed to reduce dataset noise, to segment using active contours, to extract the skeleton, to estimate the vessel radii and to reconstruct the associated surface. The robustness and accuracy of our technique...

chapter

Toward Real-Time Simulation of Blood-Coil Interaction during Aneurysm Embolization

Yiyi Wei, Stéphane Cotin, Le Fang, Jérémie Allard, more

Lecture Notes in Computer Science > Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009 > Modelling and Segmentation > 198-205

Over the last decade, remarkable progress has been made in the field of endovascular treatment of aneurysms. Technological advances continue to enable a growing number of patients with cerebral aneurysms to be treated with a variety of endovascular strategies, essentially using detachable platinum coils. Yet, coil embolization remains a very complex medical procedure for which careful planning must...

chapter

A Shell Model for Real-Time Simulation of Intra-ocular Implant Deployment

Olivier Comas, Stéphane Cotin, Christian Duriez

Lecture Notes in Computer Science > Biomedical Simulation > Real-Time Interactive Simulation > 160-170

With 30 million interventions a year worldwide, cataract surgery is one of the most frequently performed procedures. Yet, no tool currently allows teaching all steps of the procedure without putting patients at risk. A particularly challenging stage of this surgery deals with the injection and deployment of the intra-ocular lens implant. In this paper we propose to rely on shell theory to accurately...

chapter

Towards a Framework for Assessing Deformable Models in Medical Simulation

Maud Marchal, Jérémie Allard, Christian Duriez, Stéphane Cotin

Lecture Notes in Computer Science > Biomedical Simulation > Implementation Issues > 176-184

Computational techniques for the analysis of mechanical problems have recently moved from traditional engineering disciplines to biomedical simulations. Thus, the number of complex models describing the mechanical behavior of medical environments have increased these last years. While the development of advanced computational tools has led to interesting modeling algorithms, the relevances of these...

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Search results for: Stéphane Cotin

DeepPhysics: A physics aware deep learning framework for real‐time simulation

Force classification during robotic interventions through simulation-trained neural networks

An open electromagnetic tracking framework applied to targeted liver tumour ablation

Quantifying the uncertainty in a hyperelastic soft tissue model with stochastic parameters

Controlling the error on target motion through real‐time mesh adaptation: Applications to deep brain stimulation

Biomechanics-based graph matching for augmented CT-CBCT

[POSTER] Deformed Reality: Proof of Concept and Preliminary Results

Silhouette-based pose estimation for deformable organs application to surgical augmented reality

Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers

Interactive training system for interventional electrocardiology procedures

Handling topological changes during elastic registration

Robust augmented reality registration method for localization of solid organs’ tumors using CT-derived virtual biomechanical model and fluorescent fiducials

Metrics for Laparoscopic Skills Trainers: The Weakest Link!

Using contours as boundary conditions for elastic registration during minimally invasive hepatic surgery

Simultaneous Pose Estimation and Augmentation of Elastic Surfaces from a Moving Monocular Camera

Segmentation and labelling of intra-operative laparoscopic images using structure from point cloud

A Segmentation and Reconstruction Technique for 3D Vascular Structures

Toward Real-Time Simulation of Blood-Coil Interaction during Aneurysm Embolization

A Shell Model for Real-Time Simulation of Intra-ocular Implant Deployment

Towards a Framework for Assessing Deformable Models in Medical Simulation

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