Name
Abstract | ||
|---|---|---|
The authors consider elastic image registration based on a set of corresponding anatomical point landmarks and approximating thin-plate splines. This approach is an extension of the original interpolating thin-plate spline approach and allows to take into account landmark localization errors. The extension is important for clinical applications since landmark extraction is always prone to error. T... |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/42.929618 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Anisotropic magnetoresistance,X-ray imaging,Computed tomography,Uncertainty,Image registration,Humans,Image matching,Image segmentation,Neurosurgery,Land use planning | Spline (mathematics),Affine transformation,Computer vision,Thin plate spline,Interpolation,Image processing,Artificial intelligence,Smoothness,Landmark,Mathematics,Image registration | Journal |
Volume | Issue | ISSN |
20 | 6 | 0278-0062 |
Citations | PageRank | References |
154 | 8.58 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. Rohr | 1 | 363 | 27.47 |
| H. Siegfried Stiehl | 2 | 516 | 67.10 |
| Rainer Sprengel | 3 | 235 | 26.57 |
| Thorsten M. Buzug | 4 | 518 | 81.29 |
| Jürgen Weese | 5 | 774 | 92.69 |
| M H Kuhn | 6 | 154 | 8.58 |