The Airway Lab is developing methods to quantify the airway cross-sectional area from endoscopy videos. As part of this project, researchers in the Airway lab in collaboration with the Marquette Visualization Lab performed a pilot study to demonstrate that the airway cross-sectional area can accurately be estimated from depth maps. Virtual endoscopy videos were created from 3D models of the nasal cavity and depth maps were created in the software Blender. Clinicians in the Department of Otolaryngology at the Medical College of Wisconsin used a software application to estimate the airway cross-sectional area from the virtual endoscopy videos and depth maps. The estimated airway cross-sectional areas were in excellent agreement with measurements in the 3D models, thus demonstrating the potential of performing accurate estimates of airway cross-sectional area from depth maps. Depth maps are currently used in self-driving vehicles based on images of roads. Future studies using machine learning are needed to develop methods to compute depth maps from clinical endoscopy videos.

The video below illustrates a virtual endoscopy of the nasal cavity and pharynx. The endoscope camera enters the left nostril and travels to the nasopharynx.

Video Coming Soon

Selected Publications

Garcia G.J.M., Catalano D., Shum A., Larkee C.E., Rhee J.S. (2024) Estimation of nasal airway cross-sectional area from endoscopy using depth maps: A proof-of-concept study.  Otolaryngology – Head and Neck Surgery.

 

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