Title :
A deformable surface-spine model for 3-D surface registration
Author :
Xuan, Jianhua ; Wang, Yue ; Adali, Tulay ; Zheng, Qinfen ; Hayes, W. ; Freedman, Matthew T. ; Mun, Seong E.
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Maryland Univ., Baltimore, MD, USA
Abstract :
A finite-element deformable surface-spine model is developed in this paper to register two surfaces by recovering the nonlinear deformation with respect to each other. The deformable surface-spine model is a dynamic model governed by Lagrangian motion equations. A 9 degree-of-freedom (dof) finite-element surface element and a 4-dof spine element are developed to iteratively solve Lagrangian equations for computing the deformation between two surfaces. The method has been applied to registration of computerized surgical prostate models. Experimental results have demonstrated that the new registration method can successfully match complex-structured surfaces by recovering the nonlinear deformation
Keywords :
finite element analysis; image matching; image reconstruction; image registration; iterative methods; medical image processing; patient monitoring; physiological models; 3D surface registration; 4 degree of freedom spine element; 9 degree-of-freedom finite-element surface element; Lagrangian motion equations; complex-structured surfaces; computerized surgical prostate models; dynamic model; finite-element deformable surface-spine model; nonlinear deformation; registration; Automation; Biomedical imaging; Computer science; Deformable models; Educational institutions; Finite element methods; Intersymbol interference; Lagrangian functions; Partial differential equations; Radiology;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.632072
