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:
Sep. 17, 2024

Filed:

Mar. 08, 2022
Applicants:

Ping an Technology (Shenzhen) Co., Ltd., Shenzhen, CN;

Chang Gung Memorial Hospital, Linkou, Taoyuan, TW;

Inventors:

Fakai Wang, Bethesda, MD (US);

Chang-Fu Kuo, Taoyuan, TW;

Kang Zheng, Bethesda, MD (US);

Shun Miao, Bethesda, MD (US);

Yirui Wang, Bethesda, MD (US);

Le Lu, Bethesda, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 3/40 (2024.01); A61B 6/00 (2024.01); A61B 6/50 (2024.01); G06T 7/00 (2017.01); G06V 10/25 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/482 (2013.01); A61B 6/505 (2013.01); G06T 3/40 (2013.01); G06V 10/25 (2022.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30008 (2013.01); G06V 2201/033 (2022.01);
Abstract

A method of opportunistic screening of osteoporosis includes obtaining a plain film chest X-ray (CXR); extracting regions of interest (ROIs) from the plain film CXR; and providing individual bone mineral density (BMD) scores corresponding to the extracted ROIs and a joint BMD corresponding to the plain film CXR based on a multi-ROI model by performing: inputting the extracted ROIs into a backbone network to generate individual feature vectors, each individual feature vector corresponding to one of the extracted ROIs; concatenating the individual feature vectors into a joint feature vector; individually decoding the individual feature vectors by a shared fully connected (FC) layer to generate the individual BMDs, each individual BMD corresponding to one of the individual feature vectors; and decoding the joint feature vector by a separate FC layer to generate the joint BMD.


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