Abstract #0242

Deep Learning Assisted Full Knee 3D MRI-Based Lesion Severity Staging

Bruno Astuto Arouche Nunes¹, Io Flament¹, Nikan K. Namiri¹, Rutwik Shah^2,3, Matthew Bucknor¹, Thomas Link², Valentina Pedoia^2,3, and Sharmila Majumdar²

¹1Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, ²Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, ³Center for Digital Health Innovation, UCSF, San Francisco, CA, United States

The goal of this study is to capitalizing on recent developments in Deep Learning (DL) applied to medical imaging. Specifically, we aim to (i) identify cartilage, meniscus, bone marrow edema (BEM) and ACL ligament lesions and assess severity providing full knee lesion severity assessment, and (ii) provide a condensed clinical history of patients in an automated manner.

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