2022
|
| Waldmann, Moritz; Rüttgers, Mario; Lintermann, Andreas; Schröder, Wolfgang Virtual Surgeries of Nasal Cavities Using a Coupled Lattice-Boltzmann–Level-Set Approach Artikel In: Journal of Engineering and Science in Medical Diagnostics and Therapy, Bd. 5, Ausg. 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. |
2021
|
| Inthavong, Kiao; Wong, Eugene; Tu, Jiyuan; Singh, Narinder (Hrsg.) Clinical and Biomedical Engineering in the Human Nose Buch Springer, 2021, ISBN: 978-981-15-6716-2. @book{inthavong2021clinicalb,
title = {Clinical and Biomedical Engineering in the Human Nose},
editor = {Inthavong, Kiao and Wong, Eugene and Tu, Jiyuan and Singh, Narinder},
url = {https://link.springer.com/book/10.1007/978-981-15-6716-2#toc},
isbn = {978-981-15-6716-2},
year = {2021},
date = {2021-01-01},
publisher = {Springer},
abstract = {This book explores computational fluid dynamics in the context of the human nose, allowing readers to gain a better understanding of its anatomy and physiology and integrates recent advances in clinical rhinology, otolaryngology and respiratory physiology research. It focuses on advanced research topics, such as virtual surgery, AI-assisted clinical applications and therapy, as well as the latest computational modeling techniques, controversies, challenges and future directions in simulation using CFD software. Presenting perspectives and insights from computational experts and clinical specialists (ENT) combined with technical details of the computational modeling techniques from engineers, this unique reference book will give direction to and inspire future research in this emerging field.},
keywords = {Computational Fluid Dynamics, Convolutional Neural Networks, Nasal cavity flows, Respiratory Flow Computation},
pubstate = {published},
tppubtype = {book}
}
This book explores computational fluid dynamics in the context of the human nose, allowing readers to gain a better understanding of its anatomy and physiology and integrates recent advances in clinical rhinology, otolaryngology and respiratory physiology research. It focuses on advanced research topics, such as virtual surgery, AI-assisted clinical applications and therapy, as well as the latest computational modeling techniques, controversies, challenges and future directions in simulation using CFD software. Presenting perspectives and insights from computational experts and clinical specialists (ENT) combined with technical details of the computational modeling techniques from engineers, this unique reference book will give direction to and inspire future research in this emerging field. |
2018
|
| Kim, Soo-Yeon; Park, Young-Chel; Lee, Kee-Joon; Lintermann, Andreas; Han, Sang-Sun; Yu, Hyung-Seog; Choi, Yoon Jeong Assessment of changes in the nasal airway after nonsurgical miniscrew-assisted rapid maxillary expansion in young adults Artikel In: The Angle Orthodontist, S. 092917–656.1, 2018, ISSN: 0003-3219. @article{Kim2018,
title = {Assessment of changes in the nasal airway after nonsurgical miniscrew-assisted rapid maxillary expansion in young adults},
author = {Kim, Soo-Yeon and Park, Young-Chel and Lee, Kee-Joon and Lintermann, Andreas and Han, Sang-Sun and Yu, Hyung-Seog and Choi, Yoon Jeong},
editor = {The Angle Orthodontist},
url = {https://rhinodiagnost.eu/wp-content/uploads/2018/04/092917-656.1_Kim2018.pdf},
doi = {www.angle.org/doi/10.2319/092917-656.1},
issn = {0003-3219},
year = {2018},
date = {2018-03-23},
journal = {The Angle Orthodontist},
pages = {092917--656.1},
abstract = {Objectives: To evaluate changes in the volume and cross-sectional area of the nasal airway before and 1 year after nonsurgical miniscrew-assisted rapid maxillary expansion (MARME) in young adults.
Materials and Methods: Fourteen patients (mean age, 22.7 years; 10 women, four men) with a transverse discrepancy who underwent cone beam computed tomography before (T0), immediately after (T1), and 1 year after (T2) expansion were retrospectively included in this study. The volume of the nasal cavity and nasopharynx and the cross-sectional area of the anterior, middle, and posterior segments of the nasal airway were measured and compared among the three timepoints using paired t-tests.
Results: The volume of the nasal cavity showed a significant increase at T1 and T2 (P < .05), while that of the nasopharynx increased only at T2 (P < .05). The anterior and middle cross-sectional areas significantly increased at T1 and T2 (P < .05), while the posterior cross-sectional area showed no significant change throughout the observation period (P > .05).
Conclusions: The results demonstrate that the volume and cross-sectional area of the nasal cavity increased after MARME and were maintained at 1 year after expansion. Therefore, MARME may be helpful in expanding the nasal airway.
},
keywords = {Airway, MARME, Nasal cavity flows, Nasal respiration, Respiratory Flow Computation},
pubstate = {published},
tppubtype = {article}
}
Objectives: To evaluate changes in the volume and cross-sectional area of the nasal airway before and 1 year after nonsurgical miniscrew-assisted rapid maxillary expansion (MARME) in young adults.
Materials and Methods: Fourteen patients (mean age, 22.7 years; 10 women, four men) with a transverse discrepancy who underwent cone beam computed tomography before (T0), immediately after (T1), and 1 year after (T2) expansion were retrospectively included in this study. The volume of the nasal cavity and nasopharynx and the cross-sectional area of the anterior, middle, and posterior segments of the nasal airway were measured and compared among the three timepoints using paired t-tests.
Results: The volume of the nasal cavity showed a significant increase at T1 and T2 (P < .05), while that of the nasopharynx increased only at T2 (P < .05). The anterior and middle cross-sectional areas significantly increased at T1 and T2 (P < .05), while the posterior cross-sectional area showed no significant change throughout the observation period (P > .05).
Conclusions: The results demonstrate that the volume and cross-sectional area of the nasal cavity increased after MARME and were maintained at 1 year after expansion. Therefore, MARME may be helpful in expanding the nasal airway.
|
2017
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| Göbbert, Jens Henrik; Habbinga, Sonja; Lintermann, Andreas Comprehensive Visualization of Large-Scale Simulation Data Linked to Respiratory Flow Computations on HPC Systems Online Jülich, Forschungszentrum (Hrsg.): Forschungszentrum Jülich 2017, besucht am: 24.10.2017. @online{jscaia-flow,
title = {Comprehensive Visualization of Large-Scale Simulation Data Linked to Respiratory Flow Computations on HPC Systems},
author = {Göbbert, Jens Henrik and Habbinga, Sonja and Lintermann, Andreas },
editor = {Forschungszentrum Jülich},
url = {https://www.youtube.com/watch?v=FmPvHIZSjyk, Link to Video},
year = {2017},
date = {2017-10-24},
urldate = {2017-10-24},
organization = {Forschungszentrum Jülich},
abstract = {Conditioning large-scale simulation data for comprehensive visualizations to enhance intuitive understanding of complex physical phenomena is a challenging task. This is corroborated by the fact that the massive amount of data produced by such simulations exceeds the human horizon of perception. It is therefore essential to distill the key features of such data to derive at new knowledge on an abstract level.
Furthermore, presenting scientific data to a wide public audience, especially if the scientific content is of high societal interest, i.e., as it is the case for fine dust pollution, is not only difficult from a visualization but also from an information transfer point of view. Impressive visual and contextual presentation are hence key to an effective knowledge transfer of complicated scientific data and the involved methods to arrive at such data. This is presented for highly-dense simulation data stemming from HPC simulations of inspiratory flows in the human respiratory tract. The simulations are performed on JUQUEEN using a coupled lattice-Boltzmann/Lagrange method and aim at understanding the microscopic interactions of flow and particle dynamics in highly intricate anatomically correct geometries. As such, they deliver insights on the impact of particulate matter on the human body.},
howpublished = {You-Tube Channel Forschungszentrum Jülich},
keywords = {Large-Scale Simulation Data, Respiratory Flow Computation, Visualization},
pubstate = {published},
tppubtype = {online}
}
Conditioning large-scale simulation data for comprehensive visualizations to enhance intuitive understanding of complex physical phenomena is a challenging task. This is corroborated by the fact that the massive amount of data produced by such simulations exceeds the human horizon of perception. It is therefore essential to distill the key features of such data to derive at new knowledge on an abstract level.
Furthermore, presenting scientific data to a wide public audience, especially if the scientific content is of high societal interest, i.e., as it is the case for fine dust pollution, is not only difficult from a visualization but also from an information transfer point of view. Impressive visual and contextual presentation are hence key to an effective knowledge transfer of complicated scientific data and the involved methods to arrive at such data. This is presented for highly-dense simulation data stemming from HPC simulations of inspiratory flows in the human respiratory tract. The simulations are performed on JUQUEEN using a coupled lattice-Boltzmann/Lagrange method and aim at understanding the microscopic interactions of flow and particle dynamics in highly intricate anatomically correct geometries. As such, they deliver insights on the impact of particulate matter on the human body. |