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Abstract #1209

Evaluation of new software for cartilage thickness estimation in knee MR images with severe metallic artefact

Ryan Nazareth 1 , Peter Cashman 2 , Pauline Parlier 2 , Annie Papadaki 1 , Lesley Honeyfield 1 , Keshthra Satchithananda 1 , Donald McRobbie 1 , and Fiona Watt 3

1 Imperial College Healthcare NHS Trust, London, United Kingdom, 2 Imperial College London, London, United Kingdom, 3 Kennedy Institute of Rheumatology, Oxford, United Kingdom

Monitoring cartilage thickness change is desirable in individuals with knee injuries who are at high risk of early osteoarthritis. The segmentation of cartilage from knee MR images is greatly complicated by the presence of metal artefacts. Here, we present a semi-automated in-house software which can accurately segment cartilage boundaries and estimate cartilage thickness, provided the metal artefact is only contained with the bone. This software offered the same level of accuracy and precision compared to manual tools used by radiographers but with a substantial reduction in time, robustness to changes in display contrast and brightness, and excellent inter-observer agreement.

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