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:
Mar. 05, 2024

Filed:

Sep. 22, 2022
Applicant:

National Jewish Health, Denver, CO (US);

Inventors:

David A. Lynch, Denver, CO (US);

Stephen M. Humphries, Denver, CO (US);

Assignee:

National Jewish Health, Denver, CO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); A61B 6/00 (2006.01); G06N 5/022 (2023.01); G06N 20/10 (2019.01); G16B 40/20 (2019.01); G16B 40/30 (2019.01); G16B 50/30 (2019.01); G16B 99/00 (2019.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 6/03 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/0062 (2013.01); A61B 5/055 (2013.01); A61B 6/5217 (2013.01); G06N 5/022 (2013.01); G06N 20/10 (2019.01); G16B 40/20 (2019.02); G16B 40/30 (2019.02); G16B 50/30 (2019.02); G16B 99/00 (2019.02); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 6/03 (2013.01);
Abstract

Methods, devices, and systems are provided for quantifying an extent of various pathology patterns in scanned subject images. The detection and quantification of pathology is performed automatically and unsupervised via a trained system. The methods, devices, and systems described herein generate unique dictionaries of elements based on actual image data scans to automatically identify pathology of new image data scans of subjects. The automatic detection and quantification system can detect a number of pathologies including a usual interstitial pneumonia pattern on computed tomography images, which is subject to high inter-observer variation, in the diagnosis of idiopathic pulmonary fibrosis.


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