Keywords: Machine Learning/Artificial Intelligence, MSKIn clinical practice, oblique coronal and sagittal scans have been shown to be superior for visualization of ACL and assessment of ACL tears. In this work, we demonstrate a Deep Learning based method to obtain these complex scan planes (Coronal ACL and Coronal Blumensaat) directly from standard 2D tri-planar Localizers. Results on 487 test volumes show <0.6mm mean error for both planes, indicating suitability for clinical usage.
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