Facial muscles 3D modeling using MRI
We proposed 3D human face modeling based on facial muscles using magnetic resonance imaging (MRI) with ultra-short echo-time (UTE) pulse sequence. T1-weighted, isotropic (1.0x1.0x.1.0mm3) resolution 3D invivo data was acquired with 3 tesla MR scanner. We employed anisotropic diffusion filter, morphological operations, and region growing algorithm for segmentation of facial muscles. We were able to segment and reconstruct the following facial muscles: orbicularis oris, mentalis, orbicularis oculi, zygomaticus major, zygomaticus minor, temporalis, and buccinators. The segmented muscles using UTE images can improve 3D human face modeling. Human face modeling should consider facial muscles in order to produce accurate face models for trustworthy results of imaginary plastic surgery and natural 3D animations.
B. Kang, M. Kim, T. Hong, and D. Kim, “Facial Muscles 3D Modeling using Ultra-short Echo-time (UTE) Magnetic Resonance Imaging (MRI),” IEEK Summer Conference 2013