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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