Chung Seung-Kyu, Kim Sung Kyun
Department of Otorhinolaryngology, Head & Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710, South Korea.
Respir Physiol Neurobiol. 2008 Nov 30;163(1-3):111-20. doi: 10.1016/j.resp.2008.07.023. Epub 2008 Aug 5.
Understanding the properties of airflow in the nasal cavity is essential to understanding physiologic and pathologic aspects of nasal breathing. Many attempts have been made to evaluate nasal airflow patterns using the best possible analytical methods available at the time. Recently, digital particle image velocimetry (DPIV) and computational fluid dynamic methods have been applied to this area. Digital PIV is an experimental method used to evaluate airflow in an accurately reproduced transparent model of the nasal cavity. In this review, use of the DPIV procedure in the study of nasal airflow, airflow patterns in quiet respiration, and changes to airflow after modification of the nasal turbinates are reviewed, along with aspects of the DPIV technique and the future role of DPIV in this field of research.
了解鼻腔内气流的特性对于理解鼻呼吸的生理和病理方面至关重要。人们已多次尝试使用当时可用的最佳分析方法来评估鼻腔气流模式。最近，数字粒子图像测速技术（DPIV）和计算流体动力学方法已应用于该领域。数字粒子图像测速技术是一种用于在精确复制的鼻腔透明模型中评估气流的实验方法。在本综述中，将回顾数字粒子图像测速技术在鼻腔气流研究中的应用、安静呼吸时的气流模式以及鼻甲改变后气流的变化，同时还将介绍数字粒子图像测速技术的相关方面及其在该研究领域的未来作用。
