Fully differentiable framework for inverse identification of geometry and material parameters with application to determining stress-free configuration of soft tissues

Medical images of soft tissues typically depict loaded configurations rather than true unloaded (stress-free) states, which can bias biomechanical simulations and inverse material identification. A gradient-based inverse finite element framework is presented that jointly reconstructs an effective un