Skip to main content
. Author manuscript; available in PMC: 2017 Aug 8.
Published in final edited form as: Osteoarthritis Cartilage. 2013 Sep 3;21(12):1886–1894. doi: 10.1016/j.joca.2013.08.023

Figure 1.

Figure 1

Dynamic data were acquired while subjects performed open kinetic chain exercise inside the MR scanner. Cine-PC (CPC) data were used to generate patellofemoral joint kinematics, whereas multi-plane cine (MPC) data were used to generate sparse dynamic models for the same movement. Static bone models were generated using high resolution static scans. By registering the sparse dynamic models from the MPC data to the high resolution static bone models, the static bone models could be accurately positioned in their dynamic full extension pose (location and orientation). The transformation matrix generated by the registration was used to position the high resolution cartilage models (represented with thin plate splines) in the dynamic full extension time frame. These cartilage models were then placed into the correct pose for each time frame based on the CPC joint kinematics. Cartilage overlap was used to calculate contact mechanics parameters.