Differentiable Simulation for Outcome-Driven Orthognathic Surgery Planning

Daniel Dorda, D. Peter, D. Borer, Niko Benjamin Huber, I. Sailer, Markus Gross, Barbara Solenthaler, Bernhard Thomaszewski

Abstract: Algorithms at the intersection of computer graphics and medicine have recently gained renewed attention. A particular interest are methods for virtual surgery planning (VSP), where treatment parameters must be carefully chosen to achieve a desired treatment outcome. FEM simulators can verify the treatment parameters by comparing a predicted outcome to the desired one. However, estimating the optimal parameters amounts to solving a challenging inverse problem. In current clinical practice it is solved manually by surgeons, who rely on their experience and intuition to iteratively refine the parameters, verifying them with simulated predictions.

External IDs:dblp:journals/cgf/DordaPBHSGST22