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Medical Image Analysis for the Clinic - A Grand Challenge, MICCAI 2010, the 13th International Conference on Medical Image Computing and Computer Assisted Intervention. 2010 Sep 24
Model-based auto-segmentation of knee bones and cartilage in MRI data. Kainmueller Lab
Seim H, Kainmueller D, Lamecker H, Bindernagel M, Malinowski J, Zachow S
Note: Research in this publication was not performed at Janelia.
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Abstract
We present a method for fully automatic segmentation of the bones and cartilages of the human knee from MRI data. Based on statistical shape models and graph-based optimization, first the femoral and tibial bone surfaces are reconstructed. Starting from the bone sur- faces the cartilages are segmented simultaneously with a multi object technique using prior knowledge on the variation of cartilage thickness. We validate our method on 40 clinical MRI datasets acquired before knee replacement.
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