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Abstract #2881

Three-Dimensional (3-D) Segmentation of Knee Cartilage from 3.0 T MR Images Using a Graph-Cuts Technique

Hackjoon Shim1,2, Samuel Chang3, Cheng Tao1, Jinhong Wang1, Kyongtae Ty Bae1

1Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA; 2School of Electrical Engineering, Seoul National University, Seoul, Korea; 3Department of Radiology, Washington University, St. Louise, MO, USA

In this study, a 3-D semi-automated segmentation method of knee cartilages from MR images was proposed. The segmentation process is based on a graph-cuts algorithm and was evaluated with experiments on MR images from osteoarthritis initiative (OAI) database. It was significantly more efficient and reproducible than the manual delineation method.