Publikationen

@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}
}

@article{vogtriga18,
title = {The new agreement of the international RIGA consensus conference on nasal airway function tests},
author = {Klaus Vogt and Gregor Bachmann-Harildstad and Andreas Lintermann and Alina Nechyporenko and Franz Peters and Klaus-Dieter Wernecke
},
editor = {Rhinology International},
url = {http://rhinodiagnost.eu/wp-content/uploads/2018/01/Rhinology_manuscript_1777.pdf, The new agreement of the international RIGA consensus conference on nasal airway function tests},
doi = {https://doi.org/10.4193/Rhino17.084},
year = {2018},
date = {2018-01-23},
journal = {Rhinology},
volume = {56},
abstract = {The report reflects an agreement based on the consensus conference of the International Standardization Committee on the Objective Assessment of the Nasal Airway in Riga, 2nd Nov. 2016.
The aim of the conference was to address the existing nasal airway function tests and to take into account physical, mathematical and technical correctness as a base of international standardization as well as the requirements of the Council Directive 93/42/EEC of 14 June 1993 concerning medical devices.
Rhinomanometry, acoustic rhinometry, peak nasal inspiratory flow, Odiosoft-Rhino, optical rhinometry, 24-h measurements, computational fluid dynamics, nasometry and the mirrow test were evaluated for important diagnostic criteria, which are the precision of the equipment including calibration and the software applied; validity with sensitivity, specificity, positive and negative predictive values, reliability with intra-individual and inter-individual reproducibility and responsiveness in clinical studies.
For rhinomanometry, the logarithmic effective resistance was set as the parameter of high diagnostic relevance. In acoustic rhinometry, the area of interest for the minimal cross-sectional area will need further standardization. Peak nasal inspiratory flow is a reproducible and fast test, which showed a high range of mean values in different studies. The state of the art with computational fluid dynamics for the simulation of the airway still depends on high performance computing hardware and will, after standardization of the software and both the software and hardware for imaging protocols, certainly deliver a better understanding of the nasal airway flux.},
keywords = {diagnosis, nasal cavity, nasal mucosa, nasal septum, physiology},
pubstate = {published},
tppubtype = {article}
}

@article{Lintermann2017FTaC,
title = {A Hierarchical Numerical Journey through the Nasal Cavity: From Nose-Like Models to Real Anatomies},
author = {Lintermann, Andreas and Schröder, Wolfgang},
editor = {Springer Netherlands},
url = {http://rhinodiagnost.eu/wp-content/uploads/2017/12/paper_FTAC_SI_health_Lintermann.pdf, A Hierarchical Numerical Journey through the Nasal Cavity: From Nose-Like Models to Real Anatomies},
doi = {10.1007/s10494-017-9876-0},
issn = {1386-6184},
year = {2017},
date = {2017-12-20},
issuetitle = {special issue "CFD in Health"},
journal = {Flow, Turbulence and Combustion},
abstract = {The immense increase of computational power in the past decades led to an evolution of numerical simulations in all kind of engineering applications. New developments in medical technologies in rhinology employ computational fluid dynamics methods to explore pathologies from a fluid-mechanics point of view. Such methods have grown mature and are about to enter daily clinical use to support doctors in decision making. In light of the importance of effective respiration on patient comfort and health care costs, individualized simulations ultimately have the potential to revolutionize medical diagnosis, drug delivery, and surgery planning. The present article reviews experiments, simulations, and algorithmic approaches developed at RWTH Aachen University that have evolved from fundamental physical analyses using nose-like models to patient-individual analyses based on realistic anatomies and high resolution computations in hierarchical manner.},
keywords = {Digital particle image velocimetry, Finite volume method, High performance computing, Lattice-Boltzmann method, Nasal cavity flows},
pubstate = {published},
tppubtype = {article}
}

@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}
}

@online{jsc-rhino,
title = {Strömungsvorhersage für die Nase},
author = {Göbbert, Jens Henrik and Schlößer, Tobias and Zeiss, Erhard },
editor = {Forschungszentrum Jülich, Unternehmenskommunikation},
url = {http://www.fz-juelich.de/SharedDocs/Pressemitteilungen/UK/DE/2017/2017-10-25-rhinodiagnost.html?nn=448936, Strömungsvorhersage für die Nase (Pressemitteilung)},
year = {2017},
date = {2017-10-25},
urldate = {2017-10-25},
issuetitle = {Superrechner sollen bei behinderter Nasenatmung helfen},
organization = {Forschungszentrum Jülich},
abstract = {Herbstzeit ist Erkältungszeit. In den meisten Fällen ist die verstopfte Nase nach ein paar Tagen wieder frei. Doch nicht immer sind die Beschwerden so schnell wieder verschwunden. Bei etwa 11 Prozent der Bevölkerung ist die Behinderung der Nasenatmung chronisch. Im Projekt Rhinodiagnost arbeiten Experten des Jülich Supercomputing Centre und der RWTH Aachen gemeinsam mit Fachkräften aus der Industrie daran, Ärzte bei der – oft schwierigen – Entscheidung für oder gegen eine Operation zu unterstützen. Ziel ist der Aufbau eines Service-Netzwerks, das individuelle 3D-Modelle und Strömungssimulationen auf Supercomputern als zusätzliche Entscheidungshilfe zur Verfügung stellen soll.},
keywords = {Höchstleistungsrechner, Strömungssimulation},
pubstate = {published},
tppubtype = {online}
}

@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}
}

@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}
}

@article{RhinoAll,
title = {Rhinodiagnost - Morphological and functional precision diagnostics of nasal cavities},
author = {Lintermann, Andreas and Göbbert, Jens Henrik and Vogt, Klaus and Koch, Walter and Hetzel, Alexander},
editor = {Gauss Center for Supercomputing (GCS), High-Perfomance Computing Center Stuttart (HLRS)},
url = {http://rhinodiagnost.eu/wp-content/uploads/2017/11/InSiDE-Innovatives-Supercomputing-in-Deutschland-2017-Rhinodiagnost-Morphological-and-functional-precision-diagnostics-of-nasal-c.pdf, Rhinodiagnost - Morphological and functional precision diagnostics of nasal cavities},
year = {2017},
date = {2017-08-31},
journal = {InSiDE, Innovatives Supercomputing in Deutschland},
volume = {15},
number = {2},
pages = {106-109},
keywords = {Computational Fluid Dynamics, Diagnostics, In-situ computational steering, Nasal respiration, Rhinology, Rhinomanometry},
pubstate = {published},
tppubtype = {article}
}