Abstract:
Understanding airflow through human airways is of importance in drug delivery and the development of assisted breathing methods. In this work, we focus on the development of a new method to obtain an averaged upper airway geometry from computed tomography (CT) scans of many individuals. This geometry can be used for air flow simulation. We examine the geometry resulting from a data set consisting of 65 airway scans. The methods used to achieve this include nasal cavity segmentation and a deformable template matching procedure.