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) |
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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 |
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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