Abstract
High-resolution in-vivo Magnetic Resonance Imaging (MRI) can be used effectively to determine variation in cartilage morphometry - a crucial parameter for assessment of osteoarthritis. Segmentation of cartilage from surrounding tissues is a necessary preliminary step to the quantitation process. In this in-vivo study we implement the immersion based watershed algorithm to develop a novel and reliable cartilage segmentation technique. The protocol has been successfully applied to determine morphometric differences among normal, mild and severe osteoarthritic patient populations.
| Original language | English (US) |
|---|---|
| Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Editors | J.D. Enderle |
| Pages | 3174-3176 |
| Number of pages | 3 |
| Volume | 4 |
| State | Published - 2000 |
| Event | 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States Duration: Jul 23 2000 → Jul 28 2000 |
Other
| Other | 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| Country | United States |
| City | Chicago, IL |
| Period | 7/23/00 → 7/28/00 |
Keywords
- Articular cartilage
- Image segmentation
- Magnetic resonance imaging
- Watershed algorithm
ASJC Scopus subject areas
- Bioengineering
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Ghosh, S., Beuf, O., Ries, M., Lane, N. E., Steinbach, L. S., Link, T. M., & Majumdar, S. (2000). Watershed segmentation of high resolution magnetic resonance images of articular cartilage of the knee. In J. D. Enderle (Ed.), Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 4, pp. 3174-3176)