Automatic segmentation of articular cartilage from combined assessment of sodium and proton MR knee images
Articular cartilage (AC) segmentation from magnetic resonance images of knee joint play a major role in quantifying morphological and physiological changes during the onset of osteoarthritis (OA). Prior research in cartilage segmentation has shown difficulties to develop fully automatic method due t...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Citation Index Journal |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/10878/1/Automatic%20segmentation%20of%20articular%20cartilage%20from%20combined%20assessment%20of%20sodium%20and%20proton%20MR%20knee%20images.pdf http://dx.doi.org/10.1016/j.joca.2013.02.416 http://eprints.utp.edu.my/10878/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Petronas |
| Summary: | Articular cartilage (AC) segmentation from magnetic resonance images of knee joint play a major role in quantifying morphological and physiological changes during the onset of osteoarthritis (OA). Prior research in cartilage segmentation has shown difficulties to develop fully automatic method due to heterogeneous AC signal, low tissue contrast, uneven shape and complex behaviour. This work aims to develop an automated AC segmentation technique utilizing combined assessment of sodium and proton MR images acquired at 1.5T. |
|---|