Corresponding articular cartilage thickness measurements in the knee joint by modelling the underlying bone (commercial in confidence)

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Abstract

We present a method for corresponding and combining cartilage thickness readings from a population of patients using the underlying bone structure as a reference. Knee joint femoral bone and cartilage surfaces are constructed from a set of parallel slice segmentations of MR scans. Correspondence points across a population of bone surfaces are defined and refined by minimising an objective function based on the Minimum Description Length of the resulting statistical shape model. The optimised bone model defines a set of corresponding locations from which 3D measurements of the cartilage thickness can be taken and combined for a population of patients. Results are presented for a small group of patients demonstrating the feasibility and potential of the approach as a means of detecting sub-millimetre cartilage thickness changes due to disease progression. © Springer-Verlag Berlin Heidelberg 2003.

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Williams, T. G., Taylor, C. J., Gao, Z. X., & Waterton, J. C. (2003). Corresponding articular cartilage thickness measurements in the knee joint by modelling the underlying bone (commercial in confidence). Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2732, 126–135. https://doi.org/10.1007/978-3-540-45087-0_11

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