Name
Title | ||
|---|---|---|
Nonrigid Registration of Medical Images Based on Anatomical Point Landmarks and Approximating Thin-Plate Splines |
Abstract | ||
|---|---|---|
IntroductionRegistration (or matching) denotes the process in which two existing representations areput into correspondence. The aim is to find a transformation that describes the mappingbetween these two representations. Particularly, in neurosurgery and radiotherapy planningit is important to either register images from different modalities, e.g. CT (X-rayComputed Tomography) and MR (Magnetic Resonance) images, or to match images toatlas representations. If only rigid transformations... |
Year | Venue | Keywords |
|---|---|---|
1996 | Bildverarbeitung für die Medizin | magnetic resonance image,thin plate spline |
Field | DocType | Citations |
Computer vision,Thin plate spline,Computer science,Artificial intelligence,Geometry,Anatomical point | Conference | 4 |
PageRank | References | Authors |
0.97 | 2 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karl Rohr | 1 | 377 | 52.96 |
| H. Siegfried Stiehl | 2 | 516 | 67.10 |
| Rainer Sprengel | 3 | 235 | 26.57 |
| Wolfgang Beil | 4 | 68 | 15.10 |
| Thorsten M. Buzug | 5 | 518 | 81.29 |
| Jürgen Weese | 6 | 774 | 92.69 |
| M. H. Kuhn | 7 | 56 | 12.53 |