Waldmann, Moritz; Rüttgers, Mario; Lintermann, Andreas; Schröder, Wolfgang Virtual Surgeries of Nasal Cavities Using a Coupled Lattice-Boltzmann–Level-Set Approach Journal Article In: Journal of Engineering and Science in Medical Diagnostics and Therapy, vol. 5, iss. 3, 2022, ISSN: 2572-7958. @article{Waldmann2022,
title = {Virtual Surgeries of Nasal Cavities Using a Coupled Lattice-Boltzmann–Level-Set Approach},
author = {Waldmann, Moritz and Rüttgers, Mario and Lintermann, Andreas and Schröder, Wolfgang},
url = {https://asmedigitalcollection.asme.org/medicaldiagnostics/article/doi/10.1115/1.4054042/1139371/Virtual-Surgeries-of-Nasal-Cavities-Using-a},
doi = {10.1115/1.4054042},
issn = {2572-7958},
year = {2022},
date = {2022-03-31},
urldate = {2022-03-31},
journal = {Journal of Engineering and Science in Medical Diagnostics and Therapy},
volume = {5},
issue = {3},
abstract = {Fluid mechanical properties of respiratory flow such as pressure loss, temperature distribution, or wall-shear stress characterize the physics of a nasal cavity. Simulations based on computational fluid dynamics (CFD) methods are able to deliver in-depth details on respiration. Integrating such tools into virtual surgery environments may support physicians in their decision-making process. In this study, a lattice-Boltzmann (LB) flow solver is coupled to a level-set (LS) method to modify the shape of a nasal cavity at simulation run time in a virtual surgery. The geometry of a presurgical nasal cavity obtained from computer tomography (CT) datasets is smoothly adapted toward a postsurgical geometry given by the surgeon using an interpolation approach based on a LS method. The influence of the modification on the respiratory flow is analyzed in silico. The methods are evaluated by simulating a virtual surgery of a stenotic pipe and juxtaposing the results to cases using static geometries and by comparing them to literature findings. The results for both the stenotic pipe and the nasal cavity are in perfect agreement with the expected outcomes. For the nasal cavity, a shape is found that reduces the nasal resistance by 25.3% for inspiration at a volumetric flow rate of V˙=250 ml/s. The heating capability is retained despite the geometry modification. The simulation results support the surgeon in evaluating a planned surgery and in finding an improved surgery for the patient.},
keywords = {CFD Applications, Geometry, Lattice-Boltzmann method, Medizin, nasal cavity, Pipes, Pressure, Respiratory Flow Computation, Strömungssimulation, surgical indication},
pubstate = {published},
tppubtype = {article}
}
Fluid mechanical properties of respiratory flow such as pressure loss, temperature distribution, or wall-shear stress characterize the physics of a nasal cavity. Simulations based on computational fluid dynamics (CFD) methods are able to deliver in-depth details on respiration. Integrating such tools into virtual surgery environments may support physicians in their decision-making process. In this study, a lattice-Boltzmann (LB) flow solver is coupled to a level-set (LS) method to modify the shape of a nasal cavity at simulation run time in a virtual surgery. The geometry of a presurgical nasal cavity obtained from computer tomography (CT) datasets is smoothly adapted toward a postsurgical geometry given by the surgeon using an interpolation approach based on a LS method. The influence of the modification on the respiratory flow is analyzed in silico. The methods are evaluated by simulating a virtual surgery of a stenotic pipe and juxtaposing the results to cases using static geometries and by comparing them to literature findings. The results for both the stenotic pipe and the nasal cavity are in perfect agreement with the expected outcomes. For the nasal cavity, a shape is found that reduces the nasal resistance by 25.3% for inspiration at a volumetric flow rate of V˙=250 ml/s. The heating capability is retained despite the geometry modification. The simulation results support the surgeon in evaluating a planned surgery and in finding an improved surgery for the patient. | |
Göbbert, Jens Henrik Flow predictions for your nose Journal Article In: Exascale-Newsletter, vol. 3, pp. 3, 2017. @article{Göbbert2017exa,
title = {Flow predictions for your nose},
author = {Göbbert, Jens Henrik},
editor = {Forschungszentrum Jülich GmbH},
url = {http://exascale-news.de/en/2017/index/#!/Flow-Predictions-for-Your-Nose, Flow predictions for your nose (Englische Version online)
http://rhinodiagnost.eu/wp-content/uploads/2017/11/exascale_nl_03_2017.pdf, Strömungsvorhersage für die Nase (Deutsche Version)
},
year = {2017},
date = {2017-11-09},
urldate = {2017-11-09},
journal = {Exascale-Newsletter},
volume = {3},
pages = {3},
institution = {Forschungszentrum Jülich GmbH},
keywords = {Computational Fluid Dynamics, High performance computing, Höchstleistungsrechner, Medizin, Nasal respiration, Strömungssimulation},
pubstate = {published},
tppubtype = {article}
}
| |
Lintermann, Andreas Strömende Bits und Bytes - Zusammenspiel von Höchstleistungsrechnern und Medizin Journal Article In: RWTH Themenheft, 2017. @article{Lintermann2017,
title = {Strömende Bits und Bytes - Zusammenspiel von Höchstleistungsrechnern und Medizin},
author = {Lintermann, Andreas},
editor = {RWTH Aachen University},
url = {http://rhinodiagnost.eu/wp-content/uploads/2017/10/RWTH_Themenheft_Lintermann-1.pdf, Strömende Bits und Bytes - Zusammenspiel von Höchstleistungsrechnern und Medizin},
year = {2017},
date = {2017-09-01},
journal = {RWTH Themenheft},
address = {RWTH Aachen University, Aachen, Germany},
school = {RWTH Aachen University},
abstract = {Respiration is an essential physiological functionality of the human organism and is responsible for supplying the body with oxygen. The nasal cavity takes care of olfaction and degustation, filters fine dust from the air as well as moisturizes and tempers the air. Therefore, it is indispensable in respiration, and a degradation of only one or a few functionalities leads to discomfort or further pathologies. In the profile area Computational Science {&} Engineering (CompSE), human respiration is analyzed by means of highly-resolved numerical simulations that, due to the large problem sizes, can only be executed on supercomputers. Complaints in nasal respiration, the development of chronic airway diseases, a reduction of olfaction and degustation, particle deposition behavior and filtering mechanisms of the nasal cavity, air conditioning capability, and a fundamental understanding of the physics of human respiration are at the core of the research. The following article gives an overview of the methodologies employed by the group, current results, and the challenges engineers, computer scientists, and medical specialists have to face in the future to reach the goal of personalized medical treatment.},
keywords = {Höchstleistungsrechner, Medizin, Strömungssimulation},
pubstate = {published},
tppubtype = {article}
}
Respiration is an essential physiological functionality of the human organism and is responsible for supplying the body with oxygen. The nasal cavity takes care of olfaction and degustation, filters fine dust from the air as well as moisturizes and tempers the air. Therefore, it is indispensable in respiration, and a degradation of only one or a few functionalities leads to discomfort or further pathologies. In the profile area Computational Science {&} Engineering (CompSE), human respiration is analyzed by means of highly-resolved numerical simulations that, due to the large problem sizes, can only be executed on supercomputers. Complaints in nasal respiration, the development of chronic airway diseases, a reduction of olfaction and degustation, particle deposition behavior and filtering mechanisms of the nasal cavity, air conditioning capability, and a fundamental understanding of the physics of human respiration are at the core of the research. The following article gives an overview of the methodologies employed by the group, current results, and the challenges engineers, computer scientists, and medical specialists have to face in the future to reach the goal of personalized medical treatment. | |