Name
Abstract | ||
|---|---|---|
Nonlinear image registration is a challenging task in the field of medical image analysis. Intensity based registration is based on the entire image information and generates a dense displacement field. In many applications discontinuities may be present in the displacement field, and intensity variations may occur. In this work we utilize an en- ergy functional which is based on Total Variation regularization and a robust data term. We propose a novel, fast and stable numerical scheme to find the minimizer of this energy. Our approach combines a fixed-point procedure derived from duality principles combined with a fast thresh- olding step. We show experimental results on synthetic and clinical CT lung data sets at dierent breathing states as well as registration results on inter-subject brain MRIs. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-75759-7_62 | MICCAI (2) |
DocType | Citations | PageRank |
Conference | 2 | 0.37 |
References | Authors | |
11 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Pock | 1 | 3858 | 174.49 |
| Martin Urschler | 2 | 347 | 23.94 |
| Christopher Zach | 3 | 1457 | 84.01 |
| Reinhard Beichel | 4 | 706 | 46.47 |
| Horst Bischof | 5 | 8751 | 541.43 |