AuthorsH. Finsberg, G. Balaban, J. Sundnes, M. E. Rognes and S. Wall
TitlePersonalization of a Cardiac Compuational Model using Clinical Measurements
AfilliationScientific Computing, , Scientific Computing, Scientific Computing
Project(s)Center for Biomedical Computing (SFF)
Publication TypeProceedings, non-refereed
Year of Publication2015
Conference Name28th Nordic Seminar on Computational Mechanics
Date Published10/2015
PublisherProceedings of NSCM-28
Place PublishedTallin, Estonia

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’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.

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