Three-Dimensional Image Segmentation of Upper Airway by Cone Beam CT: A Review of Literature

Abstract

The aim of this paper is to review the different approaches of three-dimensional image segmentation using cone-beam computed tomography (CBCT), with a focus on the human upper airway. Literature reviews in the dental field have been included, relating to the use of CBCT to assess the upper airway using image segmentation. Obstruction of the upper airway often modifies normal breathing, which can have a noticeable impact on the typical development of craniofacial structures. CBCT is a modality that allows for the improved understanding of airway anatomy, pathology, and upper airway analysis. It is more accurate, efficient and has a relatively less radiation dose compared to multi-detector CT. Three-dimensional (3D) models of the upper airway that have been segmented and designed from CBCT images can be used to visualize and analyze treatment efficiency in subjects with breathing or obstruction disorders. The accuracy of these 3D morpho-functional analytical models is essential for improving diagnosis, treatment planning, and assessing treatment outcomes of the upper airway. Therefore, the purpose of the present review is to discuss the different methods for upper airway segmentation using CBCT to achieve accurate modeling.