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:
May. 31, 2022

Filed:

Jul. 22, 2019
Applicant:

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

Inventors:

Xiaodong Wang, Shanghai, CN;

Wenjun Yu, Shanghai, CN;

Yufei Mao, Shanghai, CN;

Xu Wang, Shanghai, CN;

Ke Wu, Shanghai, CN;

Ce Wang, Shanghai, CN;

Peng Zhao, Shanghai, CN;

Chuanfeng Lv, Shanghai, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); A61B 5/00 (2006.01); G06K 9/62 (2022.01); G06V 10/22 (2022.01); G06V 10/34 (2022.01); G06V 10/40 (2022.01); G06V 10/75 (2022.01); G06T 7/136 (2017.01); G06T 7/11 (2017.01); G06T 5/30 (2006.01); G06T 7/00 (2017.01); A61B 5/055 (2006.01); A61B 6/03 (2006.01);
U.S. Cl.
CPC ...
A61B 6/5294 (2013.01); A61B 5/004 (2013.01); A61B 5/0037 (2013.01); A61B 5/489 (2013.01); A61B 6/504 (2013.01); G06K 9/6256 (2013.01); G06K 9/6257 (2013.01); G06K 9/6267 (2013.01); G06T 5/30 (2013.01); G06T 7/0014 (2013.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06V 10/22 (2022.01); G06V 10/34 (2022.01); G06V 10/40 (2022.01); G06V 10/755 (2022.01); A61B 5/055 (2013.01); A61B 6/037 (2013.01); A61B 6/469 (2013.01); A61B 6/481 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30172 (2013.01); G06V 2201/03 (2022.01);
Abstract

Methods and systems for determining a region of interest (ROI) in an image associated with a subject are provided. Slice information of multiple slices of an image are identified and multiple slice ranges are determined based on the slice information. Based on the slice ranges, multiple sub-images of the image are then determined. For each sub-image, a template and a corresponding probability graph are acquired, a registration result is determined by registering the sub-image with the template, and a ROI in the sub-image is identified based on the registration result. A ROI of the image can be determined by combining the ROIs of the sub-images.


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