Computer aided Modelling of Nasoalveolar Molding Devices for Cleft Lip and Palate Treatment

Introduction Shortening of myocyte fibers is responsible for the contraction of the human heart and is the main driving mechanism for blood circulation in the cardio vascular system. Currently, two methods exist for initialization of the fiber orientation in a computational heart model. Setting of fiber orientation using diffusion tensor MRI is preferable, but can introduce possibly large inaccuracies and is nearly impossible for alive patients. As alternative approach, rule-based algorithms are used, being able to generate a fiber orientation based a few physiological parameters only. The drawback is, that model-based errors are introduced and a wrong choice of the parameter set might turn the whole simulation useless. In this study, the influence of different fiber angles in the ventricles on the pumping function of the heart was determined. Methods Different set of fiber angles were compared using computer simulation of an elastomachanical model of the whole heart. The heart geometry was based on segmented MRI data from a healthy volunteer. Fibers in the ventricles were set using a semi-automatic Laplace-Dirichlet Rule-Based algorithm presented by J. D. Bayer et al. 2012. The algorithm took four angles as input parameters, describing absolute and relative orientation of fibers on the endoand epicard. Results From the simulation results, PV-diagrams were created for the left ventricle for all fiber orientation settings. Results showed, that the pump function of the heart depended significantly on the fiber orientation angles. Furthermore, the atrioventricular plane displacement was anaylzed for all fiber orientation settings. Also here, a strong dependency on the fiber orientation was found. Conclusion Since the pumping function of the heart depends significantly on the fiber orientation, it is essential to know in which way errors introduced to the model due to uncertainties in the fiber orientation affect the mechanical behavior. Here, a sensitivity analysis can help to gain insight. Biomed Tech 2014; 59 (s1) © 2014 by Walter de Gruyter • Berlin • Boston. DOI 10.1515/bmt-2014-4383 S883 Unauthenticated Download Date | 3/16/18 4:21 AM Quantification of loads on the lumbar spine of children with different body weight – a comparative study with the help of computer modelling S. Bauer, C. Wasserhess, D. Paulus MTI Mittelrhein, Institute for Medical Engineering and Information Processing, University Koblenz-Landau, Campus Koblenz, Germany, bauer@uni-koblenz.de 2 Institute for Computational Visualistics, University Koblenz-Landau, Campus Koblenz, Germany

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