A physically based model to simulate maxillo-facial surgery from 3D CT images
Future Generation Computer Systems - Special issue on ITIS—an international telemedical information society
Optimization Approaches for Soft-Tissue Prediction in Craniofacial Surgery Simulation
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
t-FFD: free-form deformation by using triangular mesh
SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
Differential Coordinates for Interactive Mesh Editing
SMI '04 Proceedings of the Shape Modeling International 2004
Mesh editing with poisson-based gradient field manipulation
ACM SIGGRAPH 2004 Papers
Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing
A sketch-based interface for detail-preserving mesh editing
ACM SIGGRAPH 2005 Papers
On Linear Variational Surface Deformation Methods
IEEE Transactions on Visualization and Computer Graphics
Computer-aided prototype system for nose surgery
IEEE Transactions on Information Technology in Biomedicine
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This paper presents an intuitive nose surgery planning and simulation system, using 3D laser scan image and lateral X-ray image, to provide high quality prediction of the postoperative appearance, and design the patient specific prosthesis model automatically. After initial registration, the internal surface of soft tissue at the nose region was generated by the statistical data for soft tissue thickness adapted by the individual thickness information from the X-ray image. Then, the sketch contour of the 3D scan data on the lateral X-ray image was modified manually or adjusted automatically according to some aesthetic statistical data, to drive the simulation in real time by the state-of-the-art Laplacian surface deformation method. When satisfied with the 3D postoperative appearance, the deformation was mapped to the internal surface of soft tissue, and the change before and after simulation was utilized to generate the patient specific prosthesis model automatically. The surgeons who used the system confirmed that this planning system is attractive and has potential for daily clinical practice.