@inproceedings{13380,
  author = {Henrik Finsberg and Gabriel Balaban and Joakim Sundnes and Marie Rognes and Hans Odland and Stian Ross and Samuel Wall},
  title = {Personalization of a Cardiac Compuational Model using Clinical Measurements},
  abstract = {Important features in cardiac mechanics that cannot easily be measured in the clinic, can be computed using a computational model that is calibrated to behave in the same way as a patient{\textquoteright}s heart. To construct such a model, clinical measurements such as strain, volume and cavity pressure are used to personalize the mechanics of a cardiac computational model. The problem is formulated as a PDE-constrained optimization problem where the minimization functional represents the misfit between the measured and simulated data. The target parameters are material parameters and a spatially varying contraction parameter. The minimization is carried out using a gradient based optimization algorithm and an automatically derived adjoint equation. The method has been tested on synthetic data, and is able to reproduce a prescribed contraction pattern on the left ventricle.},
  year = {2015},
  journal = {28th Nordic Seminar on Computational Mechanics},
  volume = {28},
  pages = {47-50},
  month = {10/2015},
  publisher = {Proceedings of NSCM-28},
  address = {Tallin, Estonia},
}