Abstract
This paper presents a method of deriving the skeletal points of an arterial tree directly from the grey level information statistics of the background information. Such a skeletonization procedure can actually aid in determining likely locations of arterial skeletal points. A recursive search scheme to aggregate skeletal representation and provide a robust representation of the arterial tree is presented. Results are shown for one angiogram.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the Annual Conference on Engineering in Medicine and Biology |
| Publisher | Publ by IEEE |
| Pages | 10-11 |
| Number of pages | 2 |
| Volume | 15 |
| Edition | pt 1 |
| ISBN (Print) | 0780313771 |
| State | Published - Dec 1 1993 |
| Externally published | Yes |
| Event | Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, CA, USA Duration: Oct 28 1993 → Oct 31 1993 |
Other
| Other | Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| City | San Diego, CA, USA |
| Period | 10/28/93 → 10/31/93 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics