Name
Title | ||
|---|---|---|
A new registration/visualization paradigm for CT-fluoroscopy guided RF liver ablation. |
Abstract | ||
|---|---|---|
2D-3D slice-to-volume registration for abdominal organs like liver is difficult due to the breathing motion and tissue deformation. The purpose of our approach is to ease CT-fluoroscopy (CT-fluoro) based needle insertion for the Radiofrequency Liver Ablation procedure using high resolution contrasted preoperative data. In this case, low signal-to-noise ratio, absence of contrast and additional presence of needle in CT-fluoro makes it difficult to guarantee the solution of any deformable slice-to-volume registration algorithm. In this paper, we first propose a method for creating a set of ground truth (GT) simulation data based on a non-linear deformation of the CT-fluoro volume obtained from real patients. Second, we split the CT-fluoro image and apply intensity based rigid and affine registration to each section. We then propose a novel solution, which consists of intuitive visualization sequences of optimal sub-volumes of preinterventional data based on the registration results. Experiments on synthetic and real patient data and direct feedback of two interventionalists validate our alternative approach. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11866565_108 | MICCAI |
Keywords | Field | DocType |
preoperative data,ct-fluoro volume,rf liver ablation,affine registration,visualization paradigm,deformable slice-to-volume registration algorithm,simulation data,registration result,slice-to-volume registration,preinterventional data,real patient data,ct-fluoro image,new registration,ground truth,radiofrequency,signal to noise ratio,high resolution | Affine transformation,Computer vision,Pattern recognition,Visualization,Computer science,Ablation,Fluoroscopy,Ground truth,Artificial intelligence,Direct feedback,Tissue deformation | Conference |
Volume | Issue | ISBN |
9 | Pt 1 | 3-540-44707-5 |
Citations | PageRank | References |
1 | 0.40 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ruxandra micu | 1 | 2 | 0.80 |
| Tobias E Jakobs | 2 | 9 | 2.08 |
| Martin Urschler | 3 | 347 | 23.94 |
| Nassir Navab | 4 | 6594 | 578.60 |