Name
Abstract | ||
|---|---|---|
This paper proposes a new interactive hybrid non-rigid registration framework that combines any intensity-based algorithm with a feature-based component, using an iterative dual energy minimization. The resulting transformation combines both intensity-based and feature-based deformation fields. The feature matching exploits user-placed landmark pairs, and based on saliency and similarity measures, optimizes the correspondences in the neighborhood of each landmark. A dense feature-based deformation field is then generated using a thin-plate spline interpolation. Additionally, the framework allows user interactivity for live guidance of the algorithm in case of errors or inaccuracies.We present three experimental results of our hybrid approach on lung, pelvis and brain datasets, and show that in each case, the registration benefited from the hybrid approach as opposed to its intensity component alone. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ISBI.2006.1625045 | 2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3 |
Keywords | Field | DocType |
minimisation,optimization,image registration,energy minimization,interpolation,thin plate spline,iterative methods,respiratory system,spline,graphical user interfaces,biomedical imaging | Computer vision,Pattern recognition,Spline interpolation,Iterative method,Salience (neuroscience),Computer science,Interpolation,Minimisation (psychology),Artificial intelligence,Landmark,Image registration,Energy minimization | Conference |
ISSN | Citations | PageRank |
1945-7928 | 14 | 0.98 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antoine Azar | 1 | 14 | 0.98 |
| Chenyang Xu | 2 | 523 | 35.12 |
| Xavier Pennec | 3 | 5021 | 357.08 |
| Nicholas Ayache | 4 | 10804 | 1654.36 |