Abstract | ||
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We present a system involving a computer-instrumented fluoroscope for the purpose of 3D navigation and guidance using pre-operative diagnostic scans as a reference. The goal of the project is to devise a computer-assisted tool that will improve the accuracy, reduce risk, minimise the invasiveness, and shorten the time it takes to perform a variety of neurosurgical and orthopedic procedures of the spine. For this purpose we propose an apparatus that will track surgical tools and localize them with respect to the patient's 3D anatomy and pre-operative 3D diagnostic scans using intraoperative fluoroscopy for in situ registration and localization of embedded fiducials. Preliminary studies have found a fiducial registration error (FRE) of 1.41 mm and a Target Localization Error (TLE) of 0.48 mm. The resulting system leverages equipment already commonly available in the operating room (OR), providing an important new functionality that is free of many current limitations, such as the inadequacy of skin fiducials for spinal neuronavigation, while keeping costs contained. |
Year | DOI | Venue |
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2001 | 10.1117/12.428078 | Proceedings of SPIE |
Keywords | Field | DocType |
spinal neuronavigation,fluoroscopy,registration,error analysis | Computer vision,Artificial intelligence,Medical physics,Radiology,Medicine,Neuronavigation | Conference |
Volume | ISSN | Citations |
4319 | 0277-786X | 1 |
PageRank | References | Authors |
0.51 | 1 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
hamid r abbasi | 1 | 1 | 1.19 |
robert p grzeszczuk | 2 | 1 | 0.51 |
S. Chin | 3 | 2 | 0.92 |
Hilary J. Holz | 4 | 24 | 6.24 |
sanaz hariri | 5 | 1 | 1.19 |
R. Badr | 6 | 2 | 1.22 |
daniel kim | 7 | 1 | 0.51 |
john r adler | 8 | 1 | 0.51 |
R. Shahidi | 9 | 28 | 5.55 |