Name
Abstract | ||
|---|---|---|
This paper describes the clinical validation of an image-guided system for the percutaneous placement of iliosacral screws.
The goals of the approach are to decrease surgical complications, with a percutaneous technique, and to increase the accuracy
and security of screw positioning thanks to a computer assisted system. Pre-operative planning is performed on CT-scan images
and a 3D model is built. During surgery, tools are tracked with an optical localizer. An ultrasound acquisition is performed
and images are segmented to obtain 3D intra-operative data that are registered with the CT-scan 3D model. The surgeon is assisted
during drilling and screwing processes with re-sliced CT-scan images displayed on the computer screen and comparison between
pre-operative planning and tools position. The system was validated in a cadaver study [1]. The clinical validation has then
started and four patients have been successfully instrumented.
|
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/978-3-540-40899-4_132 | MICCAI |
Keywords | Field | DocType |
percutaneous computer assisted iliosacral,clinical validation,ultrasound,ct scan | Computer vision,Cadaver,Computer science,Artificial intelligence,Medical physics,Percutaneous | Conference |
Volume | ISSN | ISBN |
1935 | 0302-9743 | 3-540-41189-5 |
Citations | PageRank | References |
8 | 0.88 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lionel Carrat | 1 | 61 | 9.13 |
| jerome tonetti | 2 | 37 | 6.61 |
| P Merloz | 3 | 63 | 9.06 |
| Jocelyne Troccaz | 4 | 626 | 163.13 |