| Literature DB >> 23205221 |
De Yun Wang1, Heow Peuh Lee, Bruce R Gordon.
Abstract
During the past decades, numerous computational fluid dynamics (CFD) studies, constructed from CT or MRI images, have simulated human nasal models. As compared to rhinomanometry and acoustic rhinometry, which provide quantitative information only of nasal airflow, resistance, and cross sectional areas, CFD enables additional measurements of airflow passing through the nasal cavity that help visualize the physiologic impact of alterations in intranasal structures. Therefore, it becomes possible to quantitatively measure, and visually appreciate, the airflow pattern (laminar or turbulent), velocity, pressure, wall shear stress, particle deposition, and temperature changes at different flow rates, in different parts of the nasal cavity. The effects of both existing anatomical factors, as well as post-operative changes, can be assessed. With recent improvements in CFD technology and computing power, there is a promising future for CFD to become a useful tool in planning, predicting, and evaluating outcomes of nasal surgery. This review discusses the possibilities and potential impacts, as well as technical limitations, of using CFD simulation to better understand nasal airflow physiology.Entities:
Keywords: Airflow physiology and pathophysiology; Computational fluid dynamics; Nasal airflow dynamics; Nose models
Year: 2012 PMID: 23205221 PMCID: PMC3506767 DOI: 10.3342/ceo.2012.5.4.181
Source DB: PubMed Journal: Clin Exp Otorhinolaryngol ISSN: 1976-8710 Impact factor: 3.372
Fig. 1Three-dimensional (3D) human nasal model can be constructed from a set of clinical imaging data, and used for computational fluid dynamics modeling calculations.
Fig. 2Turbulent kinetic energy (m2/second2) airflow contours for a healthy nose with different flow rates. There is an obvious effect of airflow turbulence in maximizing air contact with the turbinate mucosa (small arrows).
Fig. 3Three-dimensional (3D) model of inspiratory air streamlines (blue), with air velocity, pressure and wall shear stress measurements, at three points in both normal (healthy) and obstructed nose models. The flow rate used in computational fluid dynamics simulation is 34.8 L/minute.