Name
Abstract | ||
|---|---|---|
This paper presents an automated segmentation approach for MR images of the knee bones. The bones are the first stage of a segmentation system for the knee, primarily aimed at the automated segmentation of the cartilages. The segmentation is performed using 3D active shape models (ASM), which are initialized using an affine registration to an atlas. The 3D ASMs of the bones are created automatically using a point distribution model optimization scheme. The accuracy and robustness of the segmentation approach was experimentally validated using an MR database of fat suppressed spoiled gradient recall images. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICPR.2006.306 | Pattern Recognition, 2006. ICPR 2006. 18th International Conference |
Keywords | Field | DocType |
segmentation approach,mr image,automated segmentation,knee bone,active shape models,affine registration,segmentation system,automated segmentation approach,point distribution model optimization,active shape model,mr database,automatic segmentation,point distribution model,principal component analysis,image segmentation,robustness | Affine transformation,Active shape model,Computer vision,Point distribution model,Scale-space segmentation,Shape control,Pattern recognition,Computer science,Segmentation,Image segmentation,Robustness (computer science),Artificial intelligence | Conference |
Volume | ISSN | ISBN |
1 | 1051-4651 | 0-7695-2521-0 |
Citations | PageRank | References |
2 | 0.43 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jurgen Fripp | 1 | 5 | 0.88 |
| Simon Warfield | 2 | 30 | 4.02 |
| Stuart Crozier | 3 | 130 | 14.02 |
| Sébastien Ourselin | 4 | 2499 | 237.61 |