Methods:\u00a0<\/strong>The presented approach is based on a thermal lattice-Boltzmann method (LB)2<\/sup>. The solver is part of the simulation framework multiphysics \u2013 Aerodynamisches Institut Aachen (m-AIA)3<\/sup>. Since the LB method is well suited to efficiently simulate incompressible flows in intricated geometries, it is the ideal approach to investigate the respiratory flow numerically. Furthermore, it can be coupled with other solvers implemented in the m-AIA framework such as a level-set (LS) method. Such a coupling allows to track geometry modifications during a simulation run enabling the user to perform virtual surgeries on patient-specific nose geometries.<\/p>\n\n\n\n Results: <\/strong>The presented approach is tested by simulating different nasal cavities. Additionally, a study on possible error sources and the reliability of the simulation results is presented. The results show that a comparison with in-vivo measurements is challenging. Nevertheless, the impact of the shape of the cavities on respiration can be investigated. Hence, a virtual surgery of a deviated septum and a bone spur shows promising results.<\/p>\n\n\n\n Conclusion\/Outlook:\u00a0<\/strong>Numerical methods can be used to for surgery planning and evaluation. The presented simulation results show that numerical methods can be used to improve a surgery planning. To further automatize the presented method, the solvers are currently coupled with a machine learning algorithm, which is trained to find the optimal geometry in the given limits based on fluid mechanical properties of respiration4<\/sup>.<\/p>\n\n\n\n References:<\/u><\/strong><\/p>\n\n\n\n [1] A. Lintermann, M. Meinke, W. Schr\u00f6der: \u201eFluid mechanics based classification of the respiratory efficiency of several nasal cavities\u201d, Computers in Biology and Medicine 43 (11), 2013, pp. 1833-1852, doi: 10.1016\/j.compbiomed.2013.09.003<\/p>\n\n\n\n [2] M. Waldmann, M. R\u00fcttgers, A. Lintermann, W. Schr\u00f6der: \u201eVirtual Surgeries of Nasal Cavities Using a Coupled Lattice-Boltzmann-Level-Set Approach\u201d, ASME Journal of Engineering and Science in Medical Diagnostics and Therapy 5 (3), 2022, pp. 031104, doi: 10.1115\/1.4054042<\/p>\n\n\n\n [3] A. Lintermann, M. Meinke, W. Schr\u00f6der: \u201eZonal Flow Solver (ZFS): a highly efficient multi-physical simulation framework\u201d, International Journal of Computational Fluid Dynamics 34 (7-8), 2020, pp. 458-485, doi: 10.1080\/10618562.2020.1742328<\/p>\n\n\n\n [4] M. R\u00fcttgers, M. Waldmann, W. Schr\u00f6der, A. Lintermann: \u201eMachine-Learning-Based Control of Perturbed and Heated Channel Flows\u201d, In: Jagode, H., Anzt, H. Ltaief, H., Luszczek, P. (eds) High Performance Computing, ISC High Performance 2021, Springer, Cham, doi: 10.1007\/978-3-030-90539-2_1<\/p>\n\n\n\n Moritz Waldmann is a researcher at the Chair of Fluid Mechanics and Institute of Aerodynamics of RWTH Aachen University. He finalized his Ph.D. studies in September 2023. During his time as a Ph.D. student, his research was focused on the fluid mechanical analysis of respiration using the lattice-Boltzmann method.<\/p>\n\n\n\n Moritz Waldmann \u2013 RWTH Aachen University, Chair of Fluid Mechanics and Institute of Aerodynamics. W. Schr\u00f6der \u2013 J\u00fclich Aachen Research Alliance Center for Simulation and Data Science (JARA-CSD), RWTH Aachen University and Forschungszentrum J\u00fclich GmbH, Aachen, Germany<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-14181","seminars","type-seminars","status-publish","hentry"],"yoast_head":"\nAbout the author<\/h2>\n\n\n\n
![\"\"](\"https:\/\/sano.science\/wp-content\/uploads\/2023\/11\/114_personalized_diagnostics_li-1024x536.jpg\")
<\/figure>\n<\/div>","protected":false},"excerpt":{"rendered":"