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18th International Conference on Pattern Recognition (ICPR'06) Volume 1
Automatic Segmentation of the Knee Bones using 3D Active Shape Models
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Jurgen Fripp, CSIRO ICT Centre, Sydney, NSW, Australia
Simon K. Warfield, Brigham and Women?s Hospital, and Children?s Hospital Boston, MA, USA
Stuart Crozier, University of Queensland, Brisbane, Qld, Australia
Sebastien Ourselin, CSIRO ICT Centre, Sydney, NSW, Australia
This paper presents an automated segmentation approach for MR images of the knee bones. The bones are the first stage of a segmentation system for the knee, primarily aimed at the automated segmentation of the cartilages. The segmentation is performed using 3D active shape models (ASM), which are initialized using an affine registration to an atlas. The 3D ASMs of the bones are created automatically using a point distribution model optimization scheme. The accuracy and robustness of the segmentation approach was experimentally validated using an MR database of fat suppressed spoiled gradient recall images.
Citation:
Jurgen Fripp, Simon K. Warfield, Stuart Crozier, Sebastien Ourselin, "Automatic Segmentation of the Knee Bones using 3D Active Shape Models," icpr, vol. 1, pp.171-174, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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