Name
Abstract | ||
|---|---|---|
Although current edge-following schemes can be very efficient in determining coronary boundaries, they may fail when the feature to be followed is disconnected (and the scheme is unable to bridge the discontinuity) or branch points exist where the best path to follow is indeterminate. Here, the authors present new deformable spline algorithms for determining vessel boundaries, and enhancing their ... |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/42.640737 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Angiography,Spline,Deformable models,Filters,Bridges,Image segmentation,Dynamic programming,Imaging phantoms,Lesions,Testing | Spline (mathematics),Computer vision,Dynamic programming,Convolution,Edge detection,Discontinuity (linguistics),Constriction,Operator (computer programming),Artificial intelligence,Branch point,Mathematics | Journal |
Volume | Issue | ISSN |
16 | 5 | 0278-0062 |
Citations | PageRank | References |
64 | 5.89 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas K. Klein | 1 | 64 | 5.89 |
| F. Lee | 2 | 65 | 6.37 |
| Amir A. Amini | 3 | 443 | 63.30 |