Titlebook: Clinical and Biomedical Engineering in the Human Nose; A Computational Flui Kiao Inthavong,Narinder Singh,Jiyuan Tu Book 2021 Springer Natu

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Sinonasal Anatomic Variants, Diseases and their Management,deviations occur from typical airway geometries, this can lead to nasal airway obstruction having the potential to significantly reduce quality of life in patients. This chapter presents the main factors affecting anatomy geometry, and common disorders, diseases, and its management.

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Future Topics, Challenges,ling, including advanced multiphysics approaches with real breathing conditions. This chapter also discusses some recent developments including whole respiratory airway and lung models, and how big data and artificial intelligence can be integrated into current capability to advance the field.

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Surgery of the Nasal Cavity,potentially create new procedures. This chapter covers pre-operative assessment and current methods of planning for nasal surgery, types of nasal surgery and an introduction to virtual surgery using CFD.

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Computational Reconstruction of the Human Nasal Airway,uous airway region which is ready for 3D model processing. This chapter discusses CT and MR scan imaging, followed by some common segmentation algorithms based on thresholding, edge detection, and region characteristics.

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Computational Meshing for CFD Simulations,cal workflow and guidelines for generating high quality meshes, and concludes with some more advanced topics, i.e., how to generate meshes in parallel, a discussion on mesh quality, and examples on the application of lattice-Boltzmann methods to simulate flow without any turbulence modelling on highly-resolved meshes.

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Functions with Bounded Variation,potentially create new procedures. This chapter covers pre-operative assessment and current methods of planning for nasal surgery, types of nasal surgery and an introduction to virtual surgery using CFD.

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Functions with Bounded Variation,uous airway region which is ready for 3D model processing. This chapter discusses CT and MR scan imaging, followed by some common segmentation algorithms based on thresholding, edge detection, and region characteristics.