title: Statistical finite element analysis.
abstract: A novel technique is introduced for tissue deformation and stress analysis. Compared to the conventional Finite Element method, this technique is orders of magnitude faster and yet still very accurate. The proposed technique uses preprocessed data obtained from FE analyses of a number of similar objects in a Statistical Shape Model framework as described below. This technique takes advantage of the fact that the body organs have limited variability, especially in terms of their geometry. As such, it is well suited for calculating tissue displacements of body organs. The proposed technique can be applied in many biomedical applications such as image guided surgery, or virtual reality environment development where tissue behavior is simulated for training purposes.
authors.affiliation: Electrical Engineering Department, University of Western Ontario, London N6A5B9, Canada. ikhalaji@uwo.ca
authors.forename: Iman
authors.initials: I
authors.lastname: Khalaji
authors.forename: Kaamran
authors.initials: K
authors.lastname: Rahemifar
authors.forename: Abbas
authors.initials: A
authors.lastname: Samani
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D055119:Elastic Modulus / Q000502:physiology; D020342:Finite Element Analysis; D008954:Models, Biological; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D014781:Viscera / Q000033:anatomy & histology* / Q000502:physiology*; D014783:Viscosity