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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.

Patent No.:

US 12232891 B1

PDFFull Text
Date of Patent:
Feb. 25, 2025

Filed:

Jul. 10, 2023

Systems and methods for image data acquisition

Applicant:

Shanghai United Imaging Healthcare Co., Ltd., Shanghai, CN;

Inventor:

Yuhang Shi, Shanghai, CN;

Assignee:

SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai, CN;

Attorney:

METIS IP LLC

Primary Examiner:

Wei Wen Yang

Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61B 5/00 (2006.01); A61B 5/0245 (2006.01); A61B 5/055 (2006.01); A61B 6/03 (2006.01); G01R 33/567 (2006.01); G06N 3/04 (2023.01); G06N 5/04 (2023.01); G06T 7/00 (2017.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); A61B 6/00 (2006.01); G01R 33/56 (2006.01);
U.S. Cl.
CPC ...
A61B 5/7285 (2013.01); A61B 5/0245 (2013.01); A61B 5/055 (2013.01); A61B 5/7264 (2013.01); A61B 6/037 (2013.01); G01R 33/5673 (2013.01); G06N 3/04 (2013.01); G06N 5/04 (2013.01); G06T 7/0016 (2013.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); A61B 5/0035 (2013.01); A61B 6/5247 (2013.01); G01R 33/56 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/20081 (2013.01);
Abstract

The present disclosure provides a system and method for image data acquisition. The method may include acquiring physiological data of a subject. The physiological data may correspond to a motion of the subject over time. The method may include obtaining a trained machine learning model configured to detect feature data represented in the physiological data. The method may include determining, based on the physiological data, an output result of the trained machine learning model that is generated based on the feature data. The method may include acquiring, based on the output result, image data of the subject using an imaging device.

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