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An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology

Medical & Biological Engineering & Computing, vol. 60, pp. 365–391

Abstract

Physics-based analyses have the potential to consolidate and substantiate medical diagnoses in rhinology. Such methods are frequently subject to intense investigations in research. However, they are not used in clinical applications, yet. One issue preventing their direct integration is that these methods are commonly developed as isolated solutions which do not consider the whole chain of data processing from initial medical to higher valued data. This manuscript presents a workflow that incorporates the whole data processing pipeline based on a Jupyter environment. Therefore, medical image data are fully automatically pre-processed by machine learning algorithms. The resulting geometries employed for the simulations on high-performance computing systems reach an accuracy of up to 99.5% compared to manually segmented geometries. Additionally, the user is enabled to upload and visualize 4-phase rhinomanometry data. Subsequent analysis and visualization of the simulation outcome extend the results of standardized diagnostic methods by a physically sound interpretation. Along with a detailed presentation of the methodologies, the capabilities of the workflow are demonstrated by evaluating an exemplary medical case. The pipeline output is compared to 4-phase rhinomanometry data. The comparison underlines the functionality of the pipeline. However, it also illustrates the influence of mucosa swelling on the simulation. Graphical Abstract Workflow for enhanced diagnostics in rhinology.

Authors 11

  1. Forschungszentrum Jülich · Jülich Aachen Research Alliance · RWTH Aachen University

    Affiliation as printed

    Institute of Aerodynamics and Chair of Fluid Mechanics, RWTH Aachen University, Wüllnerstr. 5a, 52062, Aachen, Germany. m.waldmann@aia.rwth-aachen.de

    Jülich Aachen Research Alliance Center for Simulation and Data Science (JARA-CSD), RWTH Aachen University and Forschungszentrum Jülich GmbH, Kopernikusstr. 6, 52074, Aachen, Germany. m.waldmann@aia.rwth-aachen.de

    Institute of Aerodynamics and Chair of Fluid Mechanics, RWTH Aachen University, Wüllnerstr. 5a, 52062, Aachen, Germany

  2. Forschungszentrum Jülich · Jülich Supercomputing Centre

    Affiliation as printed

    Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52425, Jülich, Germany

  3. Forschungszentrum Jülich · Jülich Supercomputing Centre

    Affiliation as printed

    Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52425, Jülich, Germany

  4. Affiliation as printed

    Angewandte Informationstechnik Forschungsgesellschaft mbH, Klosterwiesgasse 32/1, 8010, Graz, Austria

  5. Affiliation as printed

    Angewandte Informationstechnik Forschungsgesellschaft mbH, Klosterwiesgasse 32/1, 8010, Graz, Austria

  6. Affiliation as printed

    Angewandte Informationstechnik Forschungsgesellschaft mbH, Klosterwiesgasse 32/1, 8010, Graz, Austria

  7. Affiliation as printed

    Sutter Medizintechnik GmbH, Tullastraße 87, 79108, Freiburg, Germany

  8. Affiliation as printed

    Med Contact GmbH, Kornbühlstr. 100-102, 72393, Salmendingen, Germany

  9. Forschungszentrum Jülich · Jülich Aachen Research Alliance · RWTH Aachen University

    Affiliation as printed

    Institute of Aerodynamics and Chair of Fluid Mechanics, RWTH Aachen University, Wüllnerstr. 5a, 52062, Aachen, Germany

    Jülich Aachen Research Alliance Center for Simulation and Data Science (JARA-CSD), RWTH Aachen University and Forschungszentrum Jülich GmbH, Kopernikusstr. 6, 52074, Aachen, Germany

  10. Forschungszentrum Jülich · Jülich Supercomputing Centre

    Affiliation as printed

    Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52425, Jülich, Germany

  11. Forschungszentrum Jülich · Jülich Aachen Research Alliance · Jülich Supercomputing Centre · RWTH Aachen University

    Affiliation as printed

    Jülich Aachen Research Alliance Center for Simulation and Data Science (JARA-CSD), RWTH Aachen University and Forschungszentrum Jülich GmbH, Kopernikusstr. 6, 52074, Aachen, Germany

    Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52425, Jülich, Germany

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References 51