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: Brian C. Lovell, Duncan A. Campbell, Clinton B. Fookes and Anthony J. Maeder, Proceedings of the Eighth Australian and New Zealand Intelligent Information Systems Conference. Australian and New Zealand Intelligent Information Systems, Sydney, Australia, (417-420). 10-12 December, 2003.

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Author Hinrichs, Enrico
Appleton, Ben
Lovell, Brian C.
Galloway, Graham John
Title of paper Autonomous Direct 3D Segmentation of Articular Knee Cartilage
Conference name Australian and New Zealand Intelligent Information Systems
Conference location Sydney, Australia
Conference dates 10-12 December, 2003
Proceedings title Proceedings of the Eighth Australian and New Zealand Intelligent Information Systems Conference
Place of Publication Brisbane, Qld
Publisher Queensland University of Technology
Publication Year 2003
Sub-type Fully published paper
ISBN 1741070392
9781741070392
Editor Brian C. Lovell
Duncan A. Campbell
Clinton B. Fookes
Anthony J. Maeder
Volume 1
Issue 1
Start page 417
End page 420
Total pages 4
Language eng
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.
Subjects 280203 Image Processing
Keyword iris-research
computer vision
mri
medical
References [1] Stammberger T.; Eckstein, F., et al., Intraobserver Reproducibility Of Quantitative Cartilage Measurements: Comparison of B-Spline Snakes and Manual Segmentation, Magnetic Resonance Imaging, Vol. 17, No. 7, pp. 1033-1042, 1999 [2] Sethian, J., A., Level Sets Methods and Fast Marching Methods. Cambridge University Press, 1999 [3] Verstraete, K., L., Magnetic Resonance Imaging of Cartilage, Department of Radiology, Ghent University Hospital De Pintelaan 185, B-9000 Gent, Belgium [4] Pfizer Inc, USA [5] Outerbridge RE, The ethiology of chondromalacia patellae. J Bone Joint Surg Br. 1961, 4(34): 752-767 [6] Perona, P. and Malik, J., Scale-Space and Edge Detection Using Anisotropic Diffusion, IEEE Transactions on Image Processing, Vol. 12(7): 629-639, July 1990. [7] Kass, M.; Witkin, A.; Terzopoulos, D. Snakes: Active contour models. Int. J. Comput. Vision 1:321-331; 1988
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

 
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Created: Wed, 25 Feb 2004, 10:00:00 EST by Brian C. Lovell on behalf of School of Information Technol and Elec Engineering