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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang, F. Duratti, L. Samur, E. Spaelter, U. Bleuler, H. |
| Copyright Year | 2007 |
| Description | Author affiliation: Ecole Polytech. Federate de Lausanne (EPFL), Lausanne (Wang, F.; Duratti, L.; Samur, E.; Spaelter, U.; Bleuler, H.) |
| Abstract | Interventional radiology is a minimally invasive procedure where thin instruments, guidewires and catheters or stents are steered through the patient's vascular system under X-ray imaging for treatment of vascular diseases. The complexity of these procedures makes training in order to master hand-eye coordination, instrument manipulation and procedure protocols for each radiologist mandatory. In this paper, we present a computer-based real-time simulation of interventional radiology procedures, which deploys a very efficient physics-based thread model to simulate the elastic behavior of guidewires and catheters. A fast collision detection scheme provides continuous collision response, which reveals more details of arterial walls than a center/line approach. Furthermore rendering techniques for realistic X-ray effect have been implemented. Our simulation structure is updated at a haptic rate of 500 Hz, thus contributing to physical realism. |
| Starting Page | 1742 |
| Ending Page | 1745 |
| File Size | 710229 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424407873 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2007.4352647 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational modeling Computer simulation Radiology Instruments Catheters Minimally invasive surgery X-ray imaging Medical treatment Diseases Protocols |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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