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Abstract #2968

Automated Knee Cartilage Thickness Measurement from Magnetic Resonance Images

Yongcheng YAO1, Sheheryar KHAN1, Junru ZHONG1, Siyue LI1, and Weitian CHEN1
1Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China

We propose an automated method to measure knee cartilage thickness from MR images. The proposed method comprises the processes including cartilage and bone segmentation, cartilage boundary separation, surface normal estimation, and uncertainty estimation in thickness measurement. Compared with the conventional nearest neighbor approach, the proposed method provides more reliable measurement at the edges and the regions with thin cartilage.

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