Benoît Dagon


/webdav/site/vrai-group/users/128780/private/bdagon.jpg2006 – PhD student in VRAI Group.

2004 – Research assistant in Laboratoire des Systèmes Robotiques (VRAI Group).

2004 – EPFL Master in microengineering with a specialization in techniques of production (robotics).

2003 – Master work at the Robotics Laboratory of Stanford University in California, USA.

1999 – Maturité scientifique et Baccalauréat es Sciences at the Gymnase de la Cité in Lausanne.


Ultrasound Based Preoperative Planning Update During Surgery in Case of Hepatectomy

The goal of this project is to develop a method allowing to update a preoperative 3D virtual surgery planning during surgery time. The medical context is liver surgery and, in particular, hepatectomy. We are using a 3D deformable model to represent the liver in the virtual world. As a matter of speed, it is a mass-spring based model. The masses and springs are interconnected to form a skeleton. In our case, the medial axis of the vascular tree gives the shape of the liver skeleton. Intraoperative tracked 2D ultrasound images provides fresh data to update the model. An image processing technique gives information about the 3D position of sliced vessels. This cloud of 3D points is then used as a force field that will attract the skeleton until the forces are minimized.

Characterization of 3D Deformable Models

In the field of real time 3D simulation, deformable models are now more and more often used, especially in the medical field. Based on the skeleton representation for deformable objects, the goal of this project is to define a correct set of stiffness parameters in order that the physical simulated model behaves like the real one under variable force constraints. The strategy for the characterization is to apply different known external forces on the real object and to measure the resulting displacement. Then, based on these measurements and the model’s skeleton, a custom Bayesian filter algorithm is used to estimate the springs’ parameters according to the evolution of the model.

Computer Aided Laser Treatment of Hard Tissue: Laser Positioning System

We are developing a laser-based, non-contact cutting tool to perform osteotomy without mechanical stress and vibrations. With respect to conventional mechanical approaches, the laser method reduces procedure invasiveness while significantly increases cut accuracy and precision. Furthermore, the development of a positioning system will allow 3D cuts that are currently impossible with a saw.

Advance UI for Paraendoscopic Surgery (PICO)

The VRAI group is building the user interface module of a robotized endoscope holder used in neurosurgery. This project is conducted within EU 6th frame CRAFT program.


ISCAS Poster Award 2007 (11th Annual Conference of the International Society for Computer Aided Surgery, 1st of 200 contributions). Details


M. Peterhans, B. Dagon, A. V. Berg, D. Inderbitzin, C. Baur, and S. Weber. A Porcine Liver Model for Validation of Registration Accuracy in Image-Guided Surgery. In H.-P. Meinzer, T. M. Deserno, H. Handels, and T. Tolxdorff, editors, Algorithmen ? Systeme ? Anwendungen Proceedings des Workshops, Informatik aktuell, pages 361-365, Berlin, 2009. Springer.
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B. Dagon, A. Brocard, and C. Baur. Fast Wavelet based Ultrasound Image Segmentation for Liver Vessels Extraction. In 5th International Conference on Computer Aided Surgery around the Head, 2008.
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B. Dagon, C. Baur, and V. Bettschart. Intraoperative update of liver surgery planning based on ultrasound images. In Computer-Aided Medical Interventions: tools and applications, pages 419-423. Sauramps Medical, 2007.
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B. Dagon, C. Baur, and V. Bettschart. 3d-3D non rigid registration of an organ model with intraoperative measured data in case of hepatectomy. In International Journal of Computer Assisted Radiology and Surgery, volume 2, page 499, Berlin / Heidelberg, 2007. Springer.
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B. Dagon. 3d Object Modeling and Real Time Fitting Using Point Cloud Based Information Streams. Technical report, 2004. Swiss Federal Institute of Technology.
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M. Peterhans, B. Dagon, L.-P. Nolte, C. Baur, A. Vom Berg, D. Interbitzin, and S. Weber. Soft tissue navigation: Transferring pre-operative planning data into the operation room. In European Congress of Radiology.
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B. Dagon, C. Baur, and V. Bettschart. Real-Time Update of 3D Deformable Models for Computer Aided Liver Surgery. In 19th conference of the International Association for Pattern Recognition (IAPR).
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B. Dagon, C. Baur, and V. Bettschart. A Framework for Intraoperative Update of 3D Deformable Models in Liver Surgery. In 30th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society.
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B. Dagon, S. Burion, and C. Baur. Porte-outils semi-actif pour la pose de vis transarticulaires. 2005.
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B. Dagon, S. Burion, and C. Baur. Laser Positioning System. 2005.
[ Details | Full Text | Link ]

Student reports

C. Reissner. Organ Surface Markerless Tracking. 2008.
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F. Kappeler. Framework for simulating deformable models and estimating their physical properties. 2008.
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F. Kappeler, B. Dagon, and R. Clavel. Etablissement du squelette d’un modèle virtuel tridimensionnel. 2007.
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C. Jaquier, B. Dagon, and R. Clavel. Recalage rigide sans contact d’une vertèbre. 2006.
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R. Demierre, D. Guzzoni, B. Dagon, and R. Clavel. Création d’une interface multimodale basée sur des web services. 2006.
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