Gao S, Nadeem A, Deale O C, Lerman B B, Ng K T
Department of Electrical & Computer Engineering, New Mexico State University, Las Cruces 88003, USA.
Comput Biol Med. 1995 May;25(3):335-48. doi: 10.1016/0010-4825(95)00018-y.
Finite element modeling has played an increasingly important role in the study of defibrillation. In order to model well the complex anatomical details, a large number of elements are required in the finite element grid, leading to a large set of equations that often cannot be solved effectively with the computational power of conventional computers. In this paper, we describe the use of a data parallel computer to provide the memory and reduction in solution time for solving these large finite element problems. Using a uniform grid and a nodal assembly technique, the discretized problem domain can be mapped efficiently to the parallel computer, allowing the solution of problems with over two million unknowns. The finite element algorithm for a three-dimensional inhomogeneous anisotropic body is described together with its parallel implementation. Test results for a canine torso model constructed from CT images are also presented.