|Authors||H. Finsberg, G. Balaban, M. E. Rognes, J. Sundnes and S. Wall|
|Title||Optimization of a Spatially Varying Cardiac Contraction parameter using the Adjoint Method|
|Afilliation||Scientific Computing, , Scientific Computing, Scientific Computing|
|Project(s)||Center for Biomedical Computing (SFF)|
|Publication Type||Proceedings, non-refereed|
|Year of Publication||2016|
|Keywords||Adjoint Method, Cardiac Mechanics, parameter estimation, PDE-constrained optimization|
A cardiac computational model is constrained using clinical measurements such as pressure, volume and regional strain. The problem is formulated as a PDE-constrained optimisation problem where the objective functional represents the misfit between measured and simulated data. The control parameter for the active phase is a spatially varying contraction parameter defined at every vertex in the mesh. This makes gradient calculations using the adjoint approach computationally advantageous over standard finite difference approximations.