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Biomedical subjects

Stephane Cotin

Publications and source records attributed to Stephane Cotin.

4 recordsLinked to original sources
PubMed2006

Physics-based models for catheter, guidewire and stent simulation.

For over 20 years, interventional methods have improved the outcomes of patients with cardiovascular disease or stroke. However, these procedures require an intricate combination of visual and tactile feedback and extensive training periods. An essential part of this training relates to the manipulation of diagnostic and therapeutic devices such as catheters, guidewires, or stents. In this paper, we propose a physics-based model of wire-like structures that can be used as a core representation for the real-time simulation of various devices. Our approach is computationally efficient, and physically realistic. A catheter/guidewire is simulated using a composite model, which can dynamically adapt its material properties to locally describe a combination of both devices. We also show that other devices, such as stents, can be modeled from the same core representation.

Blood Vessels↗
PubMed2005

New approaches to computer-based interventional neuroradiology training.

For over 20 years, interventional methods have substantially improved the outcomes of patients with cardiovascular disease. However, these procedures require an intricate combination of visual and tactile feedback and extensive training periods. In this paper, a prototype of endovascular therapy training system is presented. A set of core simulation components applicable to most vascular procedures has been designed and integrated into a real-time high-fidelity interventional neuroradiology training system for the prompt treatment of ischemic stroke. We believe it will improve the quality of training and the speed of learning without putting patients at risk.

Computer Simulation↗
PubMed2003

Real-time PC based X-ray simulation for interventional radiology training.

The ability to simulate realistic fluoroscopic images in real-time is a key aspect of any interventional radiology training system. In this paper, we propose a method for rendering X-ray images in real-time on a PC with consumer level graphics hardware, while improving the quality of the images. Although volume rendering techniques form the basis of our algorithm, we studied the characteristics of actual X-ray images to develop a method that can provide a new level of realism. In addition, the integration of the various levels of information contained in a CT scan in the rendering pipeline can be exploited to produce even more realistic, patient-specific X-ray or fluoroscopic images. Although the results presented here are preliminary, the performance of multi-texturing and multi-stage rasterization features available on recent low-cost graphics hardware already allows us to render X-ray images at about 30 frames per second.

Algorithms↗