Non-occluded dual lumen endotracheal tube
OwnerRyan Redfordinventor
Life of this patent
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Abstract
A non-occluded dual lumen endotracheal tube is disclosed that includes a first lumen for delivering oxygen or other gases to a patient, and a second lumen for suctioning secretions or other fluids from the patient's airway. The endotracheal tube also includes a fiber-optic imaging system and an AI hyperspectral imaging system for providing real-time, high-resolution images of the patient's airway. The AI hyperspectral imaging system is configured to analyze spectral characteristics of image pixels captured by the camera and to correct and enhance the images provided by the fiber-optic imaging system by reducing noise, correcting distortion and improving contrast and brightness, resulting in improved visualization of the patient's airway and better detection of abnormalities or other conditions.
Claims7
A method for visualizing an airway of a human or animal patient, comprising:
- providing a non-occluded dual lumen endotracheal tube comprising a first lumen configured for delivering oxygen or other gases to the patient;
- a second lumen configured for suctioning secretions or other fluids from the patient's airway;
- a fiber-optic imaging system comprising a fiber-optic cable having a distal end configured for insertion into the patient's airway, a light source configured for illuminating the patient's airway, and a camera configured for capturing images of the airway;
- and an AI hyperspectral imaging system comprising a processor and a memory configured to analyze spectral characteristics of image pixels captured by the camera and to correct and enhance the images by reducing noise, correcting distortion, and improving contrast and brightness;
- inserting the distal end of the endotracheal tube into the patient's airway;
- imaging internal structure of tissue structures within the patient's airway using optical coherence tomography (OCT) by illuminating tissue of the patient's airway with the light source;
- capturing the images of the airway with the camera;
- capturing and measuring interference patterns of light reflected from the illuminated tissue;
- calculating a distance to different layers in the tissue based on the interference pattern using the AI hyperspectral imaging system;
- correcting and enhancing the images with the AI hyperspectral imaging system by reducing noise, correcting distortion, and improving contrast and brightness;
- and
- displaying the corrected and enhanced images on a monitor.
Dependencies are inferred from the claim text.