Name
Abstract | ||
|---|---|---|
Soft-tissue deformation can be a problem if a pre-operative modality is used to help guide a surgical or an interventional procedure. We present a method which can warp a pre-operative CT image to represent the intra-operative scene shown by an interventional fluoroscopy image. The method is a novel combination of a 2D-3D image registration algorithm and a deformation algorithm which allows rigid bodies to be incorporated into a non-linear deformation based on a radial basis function. The 2D-3D registration algorithm is used to obtain information on relative vertebral movements between pre-operative and intra-operative images. The deformation algorithm uses this information to warp the pre-operative image to represent the intra-operative scene more accurately. Images from an aortic stenting procedure were used. The observed deformation was 5 degree flexion and 5mm lengthening of the lumbar spine. The vertebral positions in the warped CT volume represent the intra-operative scene more accurately than in the pre-operative CT volume. Although we had no gold-standard with which to assess the registration accuracy of soft-tissue structures, the position of soft-tissue structures within the warped CT volume appeared visually realistic. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1117/12.387709 | Proceedings of SPIE |
Keywords | Field | DocType |
deformation,2D-3D registration,image guided surgery,digitally reconstructed radiographs | Computer vision,Radial basis function,Optical engineering,Computer science,Fluoroscopy,Artificial intelligence,Image registration | Conference |
Volume | ISSN | Citations |
3979 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Graeme P. Penney | 1 | 987 | 90.21 |
| j a little | 2 | 0 | 0.34 |
| Juergen Weese | 3 | 8 | 2.62 |
| Derek L G Hill | 4 | 2823 | 441.79 |
| David J. Hawkes | 5 | 4262 | 470.26 |