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Abstract #1554

3D modeling of cartilage surfaces at the knee using clinical magnetic resonance imaging data

James MacKay1, Josh Kaggie1, Tom Turmezei2,3, Graham Treece3, Martin Graves1, Andrew McCaskie4, and Fiona Gilbert1

1Radiology, University of Cambridge, Cambridge, United Kingdom, 2Radiology, Royal National Orthopaedic Hospital, Stanmore, United Kingdom, 3Engineering, University of Cambridge, Cambridge, United Kingdom, 4Division of Trauma & Orthopaedic Surgery, University of Cambridge, Cambridge, United Kingdom

We present a surface-based method for analyzing articular cartilage at the knee using clinical MRI data. This method offers several advantages over existing approaches, including the ability to visualize the spatial distribution of cartilage thickness and compositional parameters, and perform surface-based comparisons between individuals and within individuals over time using statistical parametric mapping. We outline the steps involved in the analysis pipeline and describe initial results in 5 human cadavers and 2 human subjects in vivo, demonstrating the promise of this technique.

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