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:
Oct. 03, 2023

Filed:

Apr. 22, 2021
Applicant:

Keya Medical Technology Co., Ltd., Beijing, CN;

Inventors:

Xin Wang, Seattle, WA (US);

Youbing Yin, Kenmore, WA (US);

Junjie Bai, Seattle, WA (US);

Yuwei Li, Bellevue, WA (US);

Yi Lu, Seattle, WA (US);

Kunlin Cao, Kenmore, WA (US);

Qi Song, Seattle, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/62 (2017.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); A61B 5/02 (2006.01); A61B 5/00 (2006.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/62 (2017.01); A61B 5/02007 (2013.01); A61B 5/7264 (2013.01); A61B 5/7275 (2013.01); A61B 6/032 (2013.01); A61B 6/504 (2013.01); G06T 7/0014 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30172 (2013.01);
Abstract

A computer-implemented method for predicting a blood vessel stenosis is disclosed. The method may include extracting a blood vessel path and its centerline based on the image of the blood vessel. The method may further include determining a candidate stenosis for the blood vessel path and identifying image blocks along the centerline of the blood vessel path within a range of candidate stenosis for the blood vessel path determined based on the candidate stenosis. The method may also include determining a degree of stenosis for the blood vessel path by applying a trained learning network comprising a convolutional neural network and a recurrent neural network on the image blocks within the range of candidate stenosis.


Find Patent Forward Citations

Loading…