The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 28, 2023

Filed:

Nov. 06, 2019
Applicant:

The Regents of the University of Colorado, a Body Corporate, Denver, CO (US);

Inventors:

Min-Hyung Choi, Superior, CO (US);

Shane Transue, Arvada, CO (US);

Ann Halbower, Salida, CO (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/087 (2006.01); A61B 5/00 (2006.01); A61B 5/091 (2006.01); G16H 30/40 (2018.01); G06T 5/10 (2006.01); G06T 7/00 (2017.01); G06T 17/10 (2006.01);
U.S. Cl.
CPC ...
A61B 5/0878 (2013.01); A61B 5/0033 (2013.01); A61B 5/0077 (2013.01); A61B 5/0873 (2013.01); A61B 5/091 (2013.01); A61B 5/6803 (2013.01); G06T 5/10 (2013.01); G06T 7/0012 (2013.01); G06T 17/10 (2013.01); G16H 30/40 (2018.01); A61B 2560/0431 (2013.01); A61B 2562/0271 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20221 (2013.01);
Abstract

Various embodiments of the disclosed technology present a structural foundation for volumetric flow reconstructions for expiratory modeling enabled through multi-modal imaging for pulmonology. In some embodiments, this integrated multi-modal system includes infrared (IR) imaging, thermal imaging of carbon dioxide (CO), depth imaging (D), and visible spectrum imaging. These multiple image modalities can be integrated into flow models of exhale behaviors enable the creation of three-dimensional volume reconstructions based on visualized COdistributions over time, formulating a four-dimensional exhale model which can be used to estimate various pulmonological traits (e.g., breathing rate, flow rate, exhale velocity, nose/mouth distribution, tidal volume estimation, and COdensity distributions). Various embodiments also enable the accurate acquisition of numerous pulmonary metrics that are then stored within distributed systems for respiratory data analytics and feature extraction through deep learning embodiments.


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