Soft tissue simulation for cranio-maxillofacial (CMF) and asthetic/reconstructive surgery

Our group develops algorithms and systems to perform prediction of soft-tissue deformations after cranio-maxillofacial surgery. The method has been developed with a strong emphasis on its clinical usability (i.e. compliance to imaging protocol, computation speed and usability). The simulation framework features high accuracy by incorporating non-homogeneous and anisotropic tissue properties as well as sliding contact considerations. During 2012, through a collaboration with partners from the NCCR project Co-Me, we were able to automate nearly every task of the simulation pipeline by considering a statistical shape model of the skull, which encodes surgical planning, mechanical and facial muscle information. This enabled us to reduce the complete processing time from 2hrs to 15min as well as to improve the accuracy of our simulations.

In the software section, Di2Mesh, a tool for surface to surface distance computation is available for research purposes. An infographic about Di2Mesh is also available here

In the area of facial soft tissue surgery, and in collaboration with the spin-off company Crisalix, a web-enabled image-based face reconstruction and surgical simulation system has been developed under the auspice of the KTI technology transfer promotion agency. During 2012 the first beta version has been considerably improved, featuring an easy-to-use and accurate web-enabled face reconstruction system from patient photographs.