Decision Support Software for Anterior Cruciate Ligament Reconstruction based on Individualized Musculoskeletal Computer Models

SafeACL project aims to develop an innovative decision support system based on the integration of neuromusculoskeletal computer models with imaging (MRI, X-ray, ultrasound) and motion analysis data (kinematics, kinetics) to simulate the surgery and to improve customization, objectivity, and ultimately effectiveness of treatments for Anterior Cruciate Ligament (ACL) reconstruction.

The SafeACL system will allow the surgeon to operate in a virtual environment using an individualized neuromusculoskeletal model that will be able to predict the functional effect of surgery. In this way, the therapist will be able to test a variety of surgical scenarios (bone channel location, initial graft trend, graft fixation methodology, relative movement between the bone canal and graft) before performing the real surgery. Then, the personalized surgical plan will be fed into a surgical assistive system, which will guide the surgeon to reproduce the selected invasive scenario during the actual surgery

Start Date: 25 July 2018, Duration: 36 months