1A1-C18 Developing a Method Using the Extended Kalman Filter to Identify the Material Parameters of Deformation Model of Organ
Takeharu Hoshi, Yo Kobayshi, Masakatsu G. Fujie
- Year
- 2008
- Citations
- 2
Abstract
Accurate values of material parameters of human tissue are key elements in surgical robot system using an organ deformation model. However, it is generally difficult to determine the material values of human tissue to input into the model, because the material properties of human tissues are inherently uncertain because of their individual differences. In this work, we discussed the method for identifying the values of the material parameter of an organ model. This paper is concerned with developing a method using the Finite Element Method and the Extended Kalman Filter to identify the values of material parameters of an organ model. The effectiveness of the method was shown through physical experiment using a phantom. As a result of experiment, it was shown that the material parameters of the organ model were identified.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991