Name
Abstract | ||
|---|---|---|
We propose a new voxel similarity measure which utilises local image structure and intensity information. Gaussian scale space derivatives provide the structural information. Each derivative is assigned an information channel of N-D normalised mutual information. We illustrate the behaviour of the measure for a simulated signal and 2D medical brain images and demonstrate its potential for non-rigid, inter-subject registration of 3D thorax MR images as a proof of concept. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30135-6_97 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
mutual information,scale space,proof of concept,brain imaging | Voxel,Computer vision,Similarity measure,Pattern recognition,Computer science,Communication channel,Scale space,Multi channel,Proof of concept,Gaussian,Mutual information,Artificial intelligence | Conference |
Volume | ISSN | Citations |
3216 | 0302-9743 | 9 |
PageRank | References | Authors |
0.63 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mark Holden | 1 | 138 | 6.75 |
| Lewis D. Griffin | 2 | 381 | 45.96 |
| Nadeem Saeed | 3 | 17 | 1.97 |
| Derek L G Hill | 4 | 2823 | 441.79 |