Name
Abstract | ||
|---|---|---|
This paper presents an adaptive visualization for helping the needle insertion task for RF liver ablation under CT-fluoroscopy (CT- fluoro) guidance. It shows slices of the 3D CT-volume that are resulting from the out-of-plane motion parameters along weighted isosurfaces in the convergence basin of the employed cost function. The visualization is coupled to the uncertainty in estimating the deformation of the liver and brings much more information than a single registered slice. We evaluated the proposed visualization with three experienced interven- tional radiologists and they pointed out that such visualization revealing the neighborhood with the belonging structures, like vessels and lesion spread, will help the needle guidance. Radiofrequency Ablation (RFA) is an interventional procedure applied to pa- tients with unresectable primary liver tumors and metastases. The needle is per- cutaneously inserted into the lesion and can be performed eg. under CT-fluoro guidance. We would like to help this procedure by displaying high resolution contrasted data corresponding to the actual CT-fluoro slice in the intervention room when further needle insertion becomes difficult. In such cases we would like to enable an interface of triggering an automatic registration process and presenting e.g. the target lesion, neighborhood, vessel structures in the interven- tion room with the high quality of the contrasted pre-interventional CT-volume. However the deformation due to the breathing, the non-contrasted low resolution CT-fluoro makes it very hard to guarantee the validity of any deformable slice- to-volume registration. Attempts for a non-rigid 2D/3D registration employing the DEMONS algorithm (1) did not succeed even for very small deformations. Rigid slice-to-volume registration for similar applications has been reported in (2, 3). In (4) a visualization of a subvolume is proposed based on piecewise regis- tration. In contrast to that approach, this paper aims to first obtain a solution to the global registration and then visualize a specific volume that encompasses its neighborhood. In this neighborhood, out-of-plane motion parameters samples on |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-78640-5_70 | Bildverarbeitung für die Medizin |
Keywords | Field | DocType |
cost function,high resolution,low resolution | Convergence (routing),Biomedical engineering,Computer vision,M-estimator,Computer science,Visualization,Artificial intelligence,Adaptive visualization | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruxandra Lasowski | 1 | 2 | 1.71 |
| Selim Benhimane | 2 | 475 | 32.79 |
| Jakob Vogel | 3 | 76 | 8.85 |
| Tobias E Jakobs | 4 | 9 | 2.08 |
| Christoph J. Zech | 5 | 2 | 0.69 |
| Christoph Trumm | 6 | 0 | 0.68 |
| Martin Brokate | 7 | 58 | 4.67 |
| Nassir Navab | 8 | 6594 | 578.60 |