Abstract

The sense of smell is largely dependent on the airflow and odorant transport in the nasal cavity, which in turn depends on the anatomical structure of the nose. In order to evaluate the effect of airway dimension on rat nasal airflow patterns and odorant deposition patterns, we constructed two 3-dimensional, anatomically accurate models of the left nasal cavity of a Sprague-Dawley rat: one was based on high-resolution MRI images with relatively narrow airways and the other was based on artificially-widening airways of the MRI images by referencing the section images with relatively wide airways. Airflow and odorant transport, in the two models, were determined using the method of computational fluid dynamics with finite volume method. The results demonstrated that an increase of 34 µm in nasal airway dimension significantly decreased the average velocity in the whole nasal cavity by about 10% and in the olfactory region by about 12% and increased the volumetric flow into the olfactory region by about 3%. Odorant deposition was affected to a larger extent, especially in the olfactory region, where the maximum odorant deposition difference reached one order of magnitude. The results suggest that a more accurate nasal cavity model is necessary in order to more precisely study the olfactory function of the nose when using the rat.

Highlights

  • Respiration and olfaction are two important physiological functions of the nose

  • The results demonstrated that a small change in the airway dimension could significantly change the airflow and odorant deposition patterns in the rat nasal cavity, especially in the post-dorsal olfactory epithelial (OE) region

  • The situation was reversed in the OE region

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Summary

Introduction

Respiration and olfaction are two important physiological functions of the nose These functions are strongly dependent on patterns of airflow [1,2,3,4,5] and odorant deposition [6,7,8,9,10] in the nasal cavity. These methods have some shortcomings, such as spatial resolution and measurement accuracy and they can be time consuming In vivo approaches, such as rhinomanometry and acoustic rhinometry, can determine changes in overall nasal airflow, resistance and cross sectional areas [1,17,18,19], but are not able to show sufficient details of dynamic airflow through the nasal cavity. These weaknesses can be overcome by adopting modern numerical simulation technology

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