AI-assisted mesh generation for subject-specific modeling of facial soft tissues

Nathan Lampen, Xuanang Xu, Daeseung Kim, Tianshu Kuang, Jungwook Lee, Hannah H. Deng, Jaime Gateno, Pingkun Yan

Abstract: Simulation of reconstructive and cosmetic facial surgeries, such as orthognathic surgery, requires precise, patient-specific soft tissue meshes for outcome prediction. Conventional meshing methods rely on labor-intensive processes, including manual landmark digitization and mesh editing, and often lack point correspondence among subjects. These limitations reduce their efficiency, scalability, and utility in fast-paced clinical environments, highlighting the need for innovative and streamlined meshing techniques.

External IDs:dblp:journals/cars/LampenXKKLDGY25