Name
Abstract | ||
|---|---|---|
We present various kinds of variational PDE based methods to interpolate missing sinogram data for tomographic image reconstruction. Using the observed sinogram data we inpaint the projection data by diffusion. To overcome the problem of contour blurring we consider nonlinear and anisotropic diffusion based regularizers and include optical flow information in order to preserve the sinuodal traces corresponding to object contours in the reconstructed image. We compare our results to a spectral deconvolution based interpolation and show that the method can easily be extended to 3D. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICPR.2006.225 | ICPR (3) |
Keywords | Field | DocType |
spectral deconvolution,projection data,various kind,reconstructed image,optical flow information,missing sinogram data,variational pde,anisotropic diffusion,adaptive variational sinogram interpolation,observed sinogram data,ct data,tomographic image reconstruction,image reconstruction,partial differential equations,optical flow,interpolation | Iterative reconstruction,Anisotropic diffusion,Tomographic image reconstruction,Computer vision,Nonlinear system,Computer science,Interpolation,Deconvolution,Artificial intelligence,Optical flow,Partial differential equation | Conference |
ISSN | ISBN | Citations |
1051-4651 | 0-7695-2521-0 | 1 |
PageRank | References | Authors |
0.40 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harald Köstler | 1 | 21 | 2.29 |
| M. Prummer | 2 | 9 | 1.33 |
| Ulrich Rüde | 3 | 243 | 25.52 |
| Joachim Hornegger | 4 | 168 | 17.44 |