The objective of the proposed approach is to develop a clinical decision support system (DSS) that will help clinicians optimally plan the ACL reconstruction procedure in a patient specific manner.


A full body model is developed in this study with 23 degrees of freedom and 93 muscles. The knee ligaments are modeled as non-linear spring-damper systems and a tibiofemoral contact model was utilized. The parameters of the ligaments were calibrated based on an optimization criterion. Forward dynamics were utilized during simulation for predicting the model’s response to a given set of external forces, posture configuration and physiological parameters.

D. Stanev, K. Moustakas, J. Gliatis and C. Koutsojannis, ACL Reconstruction Decision Support Through Personalized Simulation of the Lachman Test and Custom Activities, Methods of Information in Medicine, 55(1), 98-105, 2015 Dec, DOI: 10.3414/ME14-02-0022