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Autonomous Direct 3D Segmentation of Articular Knee Cartilage
Hinrichs, Enrico, Appleton, Ben, Lovell, Brian C. and Galloway, Graham John (2003). Autonomous Direct 3D Segmentation of Articular Knee Cartilage. In: Lovell, Brian C., Campbell, Duncan A., Fookes, Clinton B. and Maeder, Anthony J., Proceedings of the Eighth Australian and New Zealand Intelligent Information Systems Conference. Australian and New Zealand Intelligent Information Systems, Sydney, (417-420). 10-12 December.
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| Name |
Description |
MIMEType |
Size |
Downloads |
paper150.pdf
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paper150.pdf |
application/pdf |
342.11KB |
735 |
| Author(s) |
Hinrichs, Enrico
Appleton, Ben
Lovell, Brian C.
Galloway, Graham John
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| Title of paper |
Autonomous Direct 3D Segmentation of Articular Knee Cartilage
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| Conference name |
Australian and New Zealand Intelligent Information Systems
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| Conference location |
Sydney
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| Conference dates |
10-12 December
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| Proceedings title |
Proceedings of the Eighth Australian and New Zealand Intelligent Information Systems Conference
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| Editor(s) |
Lovell, Brian C.
Campbell, Duncan A.
Fookes, Clinton B.
Maeder, Anthony J.
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| Publication date |
2003
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| Volume number |
1
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| Issue number |
1
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| ISBN |
1-74107-039-2
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| Start page |
417
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| End page |
420
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| Total pages |
4
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| Language |
eng
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| Abstract/Summary |
The aim of the work presented here, is to speed up the entire evaluation process of articular knee cartilage and the associated medication developments for Osteoarthritis. To enable this, the development of an automated direct 3D segmentation is described that incorporates non-linear diffusion for efficient image denoising. Cartilage specific magnetic resonance imaging is used, which allows acquiring the entire cartilage volume as one 3D image. The segmentation itself is based on level sets for their accuracy, stability and topological flexibility. By using this kind of segmentation, it is hoped to improve the time efficiency and accuracy for quantitative and qualitative integrity evaluation of cartilage and to enable an earlier diagnosis and treatment of Osteoarthritis.
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| Subjects |
280203 Image Processing
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| Keyword(s) |
iris-research
computer vision
mri
medical
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