Dynamic Assessment Of Airway Deformation
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United States of America
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Mar 20, 2025
app pub date -
Jul 28, 2022
filing date -
Jul 28, 2022
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Abstract
In various implementations, technology is disclosed to dynamically assess airway deformation. A depth prediction model is used to estimate airway depth from monocular endoscopic images of an airway and to create a dynamic point cloud representation of the airway. The depth prediction model is trained using synthetic image and depth data derived from a 3D airway model. The dynamic point cloud representation of the airway can be used to visualize and quantify airway contours and to classify airway obstructions and behavior. The technology described provides objective measures of airway deformations and behavioral analysis of pulmonary related conditions.
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