
A new application of mathematics allows surgeons to plan reconstructive facial surgery by analyzing various operative strategies implemented on virtual three-dimensional models. Previously, replicas constructed from CT-scans were used, which were expensive and allowed only one surgical strategy per replica. The new virtual models use geometry, partial differential equations, and numerical analysis to represent the movement of bone and soft tissue associated with different options, so that surgeons and their patients see the predicted results and choose what’s best.
Three-dimensional simulations of facial surgery involve grids with hundreds of thousands of tetrahedrons to compute the predicted outcomes of relocating bone and its influence on connecting tissue. The accuracy of the simulations, within one millimeter of actual results, allows them to be used both as teaching tools and as platforms for testing new techniques. Thus, mathematical modeling is improving the outlook for today’s patients and for future patients as well.
For More Information:"Understanding The Math Behind Dimension Reduction in Facial Recognition(1)," Xiaoli Jin, The Startup, June 5, 2019 ![]() Before and after dynamic smile reconstruction by Sue Campbell/U.S. Air Force |