Title :
A hybrid rotational matrix extraction method for soft tissue deformation modeling
Author :
Xiufen Ye ; Jianguo Zhang ; Peng Li
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
In this paper, we mainly investigated the methods of extracting rotational matrix in co-rotational finite element method (FEM). The matrix is used to perform stiffness warping assembly at every time-step in a soft body deformation simulation procedure. QR decomposition and polar decomposition are two well-known decomposition methods in computer graphics. The former is relative precise but time-consuming, while the latter is less precise but more efficient, and their real-time performances were analyzed in this paper. Our hybrid rotational matrix extraction method with efficient data structure, which combines the two methods mentioned above to make a balance between deformation results and real-time performance. In addition, the specific situation of a virtual surgery system has also been taken into account, in which the deformation usually occurs in a local contacted area, acts as an acceleration factor. The experimental results show that the hybrid rotational matrix extraction method can guarantee both accurate deformation simulation results and fast computation efficiency.
Keywords :
computer graphics; data structures; deformation; finite element analysis; matrix algebra; real-time systems; FEM; acceleration factor; computer graphics; corotational finite element method; data structure; hybrid rotational matrix extraction method; real-time performance; soft body deformation simulation procedure; soft tissue deformation modeling; stiffness warping assembly; virtual surgery system; Biological tissues; Computational efficiency; Computational modeling; Deformable models; Finite element analysis; Matrix decomposition; Surgery; Co-rotational FEM; rotational matrix extraction; soft tissue deformation; virtual surgery;
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
DOI :
10.1109/ICMA.2015.7237575