Accuracy of virtual rhinomanometry

Abstract Introduction: This paper describes the results of research aimed at developing a method otolaryngological diagnosis based on computational fluid dynamics, which has been called Virtual Rhinomanometry. Material and methods: Laboratory studies airflows through 3D printed model nasal cavities computed tomography image analysis have performed. The CFD compared with those an examination airflow (rhinomanometry) group 25 patients. Results: possibilities simplifying geometry for calculations described, impact CT segmentation geometric accuracy simulation errors analysed, recommendations future described. Conclusions: measurement uncertainty cavities’ walls significant simulations. simulations better approximate RMM patients after anemization, as influence mucosa is then reduced. A minor change in (within range reconstruction by segmentation) major