3D-MSI increases the visibility of a large number of important pathologies commonly found near implanted orthopaedic hardware, including: host-mediated adverse local tissue reactions, infection, osteolysis, and osteonecrosis. MRI identification of these pathologies aids in planning for surgical revision and has been shown capable of predicting tissue destruction in symptomatic hip replacements. Identification of these features is difficult, even for the interpreting physicians with substantial specialized training and experience . To address this current challenge, a deep-learning based pattern classification approach using 3D-MSI MRI is proposed and demonstrated to predict patterns of adverse synovial responses near hip replacements.
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