In this study we modeled a patient specific 3D knee after anterior cruicate
ligament (ACL) reconstruction. The purpose of the ACL reconstruction is to
achieve stability in the entire range of motion of the knee and the
establishment of the normal gait pattern. We present a new reconstruction
technique that generates patient-specific 3D knee models from patient?s
magnetic resonant images (MRIs). The motion of the ACL reconstruction
patients is measured by OptiTrack system with six infrared cameras. Finite
element model of bones, cartilage and meniscus is used for determination
stress and strain distribution at different body postures during gait
analysis. It was observed that the maximum effective von Mises stress
distribution up to 8 MPa occurred during 30% of the gait cycle on the
meniscus. The biomechanical model of the knee joint during gait analysis can
provide insight into the underlying mechanisms of knee function after ACL
reconstruction.
Towards Non-invasive Lung Tumor Tracking Based on Patient Specific Model of Respiratory System