Our work is part of the MXL European project with the final goal to develop training and planning tools for joint surgery, providing a patient specific prediction of the outcome of surgery. The aim is to understand an individual?s biomechanical condition from standard X-ray imaging [1]. This is achieved by combining multidisciplinary research on image processing, finite element analysis and musculoskeletal modeling. Our group participates in the image processing part of the work. We are responsible for statistical model creation of the joint anatomy from a training set of CT images, and for computation of personalized bone estimates from X-ray images. In particular we are focusing on the knee joint. We are going to calculate knee kinematics from 2D+time biplane X-ray fluoroscopy scans of the jump-landing motion of 10 subjects, and 6 cadavers. If our method is found to be accurate enough for the kinematic measurements, CT scanning of the subjects can be omitted in future studies, which both lowers the costs, and the radiation dose delivered to the subjects.
