Title :
A biomechanical model for soft tissue simulation in craniofacial surgery
Author :
Gladilin, E. ; Zachow, S. ; Deuflhard, P. ; Hege, H.-C.
Author_Institution :
Konrad-Zuse-Zentrum fur Informationstech. Berlin, Germany
Abstract :
Soft tissue prediction is an important additional criterion in surgical planning. Especially in craniofacial surgery the realistic prediction of a patient´s postoperative appearance is of utmost importance. A physically based modeling approach seems to be most suitable for the achievement of realistic results. However the properties of biological structures are highly complex and scarcely investigated, thus simplified models are often applied. In this paper we describe our FE based modeling approach for static soft tissue prediction and muscle muscle simulation
Keywords :
finite element analysis; medical image processing; surgery; FE based modeling approach; biomechanical model; craniofacial surgery; muscle muscle simulation; physically based modeling approach; postoperative appearance; soft tissue prediction; soft tissue simulation; Biological system modeling; Biological tissues; Capacitive sensors; Deformable models; Iron; Muscles; Predictive models; Solid modeling; Surgery; Tensile stress;
Conference_Titel :
Medical Imaging and Augmented Reality, 2001. Proceedings. International Workshop on
Conference_Location :
Shatin, Hong Kong
Print_ISBN :
0-7695-1113-9
DOI :
10.1109/MIAR.2001.930276