Name
Abstract | ||
|---|---|---|
In this paper, we compare two restoration techniques applied to 3D angiographies and to femoral CT scans. The first technique uses a Partial Derivative Equation and the second one is based on an extension of adaptive Wiener filters. We first present each method. Then, we discuss and compare the estimation of the local orientations in 3D images obtained either by the smoothed gradient and the principal curvature directions or by the eigenvectors of the structure tensor. A good estimation of the orientations is essential because it directs the restoration process. Finally, we compare the restored images on both synthetic and real images for the two studied applications. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-45468-3_123 | MICCAI |
Keywords | Field | DocType |
real image,medical imaging,structure tensor,principal curvature direction,adaptive wiener filter,partial derivative equation,good estimation,local orientation,restoration technique,restoration process,restoration techniques,3d imaging,ct scan,wiener filter,eigenvectors | Computer vision,Medical imaging,Computer science,Principal curvature,Partial derivative,Artificial intelligence,Structure tensor,Real image,Eigenvalues and eigenvectors | Conference |
ISBN | Citations | PageRank |
3-540-42697-3 | 2 | 0.73 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel A. Rodríguez-Florido | 1 | 12 | 3.10 |
| Karl Krissian | 2 | 560 | 37.94 |
| Juan Ruiz-Alzola | 3 | 170 | 22.17 |
| Carl-fredrik Westin | 4 | 2040 | 173.83 |