Name
Abstract | ||
|---|---|---|
A template tracking approach to the segmentation of small 3D vessel structures is presented. The main contributions are a general formulation of a vessel template function and a multiple hypotheses tracking framework that is shown to improve the tracking robustness. The methodology is demonstrated using CT angiography data of the liver to which a hybrid region growing and tracking segmentation is applied. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISBI.2008.4541179 | Paris |
Keywords | Field | DocType |
blood vessels,computerised tomography,diagnostic radiography,image segmentation,liver,medical image processing,CT angiography data,hybrid region growing,liver,multiple hypotheses tracking framework,small 3D vessel segmentation,small vessel tracking,template based multiple hypotheses tracking,template tracking approach,tracking robustness,tracking segmentation,vessel template function,arteries,liver,multiple hypotheses,segmentation,template,tracking,vessels | Computer vision,Pattern recognition,Computer science,Segmentation,Multiple hypotheses,Robustness (computer science),Image segmentation,Region growing,Artificial intelligence,Template tracking | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4244-2003-2 | 18 |
PageRank | References | Authors |
0.97 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ola Friman | 1 | 742 | 60.43 |
| Milo Hindennach | 2 | 122 | 9.50 |
| Peitgen, H.-O. | 3 | 69 | 6.81 |