Finite element computation of electromagnetic fields [hyperthermia treatment]

A three dimensional finite element solution scheme is developed for numerically computing electromagnetically induced power depositions. The solution method is applicable to those problems for which it can be reasonably assumed that the magnetic permeability is homogeneous. The method employs an incident field/scattered field approach where the incident field is precalculated and used as the forcing function for the computation of the scattered field. A physically logical condition is used for the numerical boundary conditions to overcome the fact that electromagnetic problems are generally unbounded (i.e., the boundary condition is applied at infinity) but numerical models must have a boundary condition applied to some finite location. At that numerical boundary, an outgoing spherical wave is simulated. Finally, an alternate to a direct solution scheme is described. This alternate method, a preconditioned conjugate gradient solver, provides both a storage and CPU time advantage over direct solution methods. For example, a one-thousand fold decrease in CPU time was achieved for simple test cases. Unlike most iterative methods, the preconditioned conjugate gradient technique used has the important property of guaranteed convergence. Solutions obtained from this finite element method are compared to analytic solutions demonstrating that the solution method is second-order accurate. >

[1]  M. Gunzburger,et al.  Boundary conditions for the numerical solution of elliptic equations in exterior regions , 1982 .

[2]  K. Hynynen,et al.  The effect of blood perfusion rate on the temperature distributions induced by multiple, scanned and focused ultrasonic beams in dogs' kidneys in vivo. , 1989, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[3]  Z. J. Cendes,et al.  Numerically stable finite element methods for the Galerkin solution of eddy current problems , 1989 .

[4]  O. Axelsson Solution of linear systems of equations: Iterative methods , 1977 .

[5]  D Andreuccetti,et al.  Phantom characterization of applicators by liquid-crystal-plate dosimetry. , 1991, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[6]  Dennis M. Sullivan,et al.  Three-dimensional computer simulation in deep regional hyperthermia using the finite-difference time-domain method , 1990 .

[7]  T. Samulski,et al.  Comparison of two-dimensional numerical approximation and measurement of SAR in a muscle equivalent phantom exposed to a 915 MHz slab-loaded waveguide. , 1990, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[8]  K. D. Paulsen,et al.  Three-dimensional finite, boundary, and hybrid element solutions of the Maxwell equations for lossy dielectric media , 1988 .

[9]  E. H. Curtis,et al.  Optimization of the absorbed power distribution for an annular phased array hyperthermia system. , 1989, International journal of radiation oncology, biology, physics.

[10]  J. Ferziger Numerical methods for engineering application , 1981 .

[11]  J. Z. Zhu,et al.  The finite element method , 1977 .

[12]  Dennis M. Sullivan,et al.  Mathematical methods for treatment planning in deep regional hyperthermia , 1991 .

[13]  Melba Phillips,et al.  Classical Electricity and Magnetism , 1955 .

[14]  K D Paulsen,et al.  Comparison of numerical calculations with phantom experiments and clinical measurements. , 1990, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[15]  Keith D. Paulsen,et al.  Origin of vector parasites in numerical Maxwell solutions , 1991 .

[16]  S T Clegg,et al.  Feasibility of estimating the temperature distribution in a tumor heated by a waveguide applicator. , 1992, International journal of radiation oncology, biology, physics.

[17]  Z. J. Cendes,et al.  Combined finite element-modal solution of three-dimensional eddy current problems , 1988 .

[18]  William G. Poole,et al.  An algorithm for reducing the bandwidth and profile of a sparse matrix , 1976 .

[19]  W. Joines Reception of microwaves by the brain. , 1976, Medical research engineering.

[21]  Om P. Gandhi,et al.  Numerical simulation of annular phased arrays for anatomically based models using the FDTD method , 1989 .

[22]  K. Paulsen,et al.  Calculation of Power Deposition Patterns in Hyperthermia , 1990 .

[23]  M. Gautherie,et al.  Thermal Dosimetry and Treatment Planning , 2012, Clinical Thermology.

[24]  K. Paulsen,et al.  Elimination of vector parasites in finite element Maxwell solutions , 1991 .

[25]  G. Pinder,et al.  Numerical solution of partial differential equations in science and engineering , 1982 .

[26]  A. Bayliss,et al.  An Iterative method for the Helmholtz equation , 1983 .