Purpose: 2D imaging of osteoarthritis can be limited by a lack of accuracy, reliability and sensitivity, thus impeding progress in disease prediction and therapy development. Multiparametric quantitative joint assessment in 3D may overcome current limitations in detecting relevant structural change. We present a new image analysis pipeline called ‘joint space mapping’ (JSM) that can deliver quantitative measures in 3D from cross-sectional imaging at the hip
