Page 26 - Computational Modeling in Biomedical Engineering and Medical Physics
P. 26

12    Computational Modeling in Biomedical Engineering and Medical Physics


                known. In inverse problems, either the structure of the system, or the materials and
                their properties, or the sources are unknown. In fact they make the object of the anal-
                ysis. Examples of inverse problems are the electrical potential cardiac mapping, the
                ultrasound tomography, the thermography, the electrical impedance tomography, and
                so on.
                   Inverse problems are usually ill-posed and their solutions may be constructed on
                the “skeletons” produced by direct problems. For instance, in cardiac mapping the
                transfer operator (e.g., a rectangular transfer matrix, in numerical simulation) that pro-
                jects the electrical potential from the thorax surface onto the epicardium surface may
                be obtained by solving a companion direct problem, which assumes the type of elec-
                trical source (monopole, dipole) and its localization (Mocanu, 2002). The solution to
                this problem requires the usage of inversion methods, singular value decomposition
                based algorithms, regularization methods, and so on (Vetterling et al., 1997).
                   The direct problems of heat and mass transfer, electromagnetism, structural
                mechanics and transport are frequently problems of equilibrium, eigenvalues,or transmis-
                sion type.
                   Equilibrium problems are boundary value problems only. The physical quantities
                are constant in time and the associated PDE is stationary, that is, there are no time
                derivatives (Fig. 1.1). Examples of equilibrium problems are for instance the stationary
                EMFs (electrostatic, magnetostatic, electrokinetic, stationary magnetic field), stationary
                heat and mass (diffusion and/or convection) transfer, potential and stationary flows.
                   In Fig. 1.1 @D is the boundary, L[   ] is the stationary PDE operator, f is the
                unknown primitive quantity, g is the inhomogeneity (the field “source,” a known
                quantity), B i [   ] is the boundary condition, a known boundary operator, and g i is the
                boundary inhomogeneity, a known quantity, e.g., a flux. The subscript (   ) i refers to
                part i of the boundary.
                   Eigenvalues problems are boundary value problems formulated in the first place for
                certain linear operators, but more than often they have a physical significance. For a
                linear operator, L[   ], λ i is the eigenvalue of index i, M i [   ] is its associated eigenfunc-
                tion or eigenvector, and E i [   ] is its trace on the boundary (Fig. 1.2).














                Figure 1.1 Equilibrium problems. The mathematical model.
   21   22   23   24   25   26   27   28   29   30   31