3D modelling of the hip joint from clinical imaging data T.D. Turmezei, A.H. Gee, K.E. Poole, G.M. Treece Osteoarthritis and Cartilage Volume 24, Pages S293-S294 (April 2016) DOI: 10.1016/j.joca.2016.01.536 Copyright © 2016 Terms and Conditions
Fig. 1. 3D maps show the spatial distribution of accuracy and precision around the canonical surface. Osteoarthritis and Cartilage 2016 24, S293-S294DOI: (10.1016/j.joca.2016.01.536) Copyright © 2016 Terms and Conditions
Fig. 2. Likewise the mean and sd of measurements are shown for each modality on the canonical surface. Osteoarthritis and Cartilage 2016 24, S293-S294DOI: (10.1016/j.joca.2016.01.536) Copyright © 2016 Terms and Conditions
Fig. 3. Correlation was seen between JSW and cartilage thickness (0 Fig. 3. Correlation was seen between JSW and cartilage thickness (0.50), and acetabular plate thickness and trabecular density (−0.45) for 0.5mm CT data, 0.50 and −0.49 respectively for 1.5mm CT data. Example volumes are given from CT as joint space (yellow), femoral plate (purple) and acetabular plate (red); from MRI as femoral (green) and acetabular (blue) cartilage. Osteoarthritis and Cartilage 2016 24, S293-S294DOI: (10.1016/j.joca.2016.01.536) Copyright © 2016 Terms and Conditions
Fig. 4 The top 3 statistical shape modes from 0.5mm CT are shown with vertex displacements from the canonical surface in yellow. Osteoarthritis and Cartilage 2016 24, S293-S294DOI: (10.1016/j.joca.2016.01.536) Copyright © 2016 Terms and Conditions
Fig. 5 Osteoarthritis and Cartilage 2016 24, S293-S294DOI: (10.1016/j.joca.2016.01.536) Copyright © 2016 Terms and Conditions