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. 12, 2023

Filed:

Dec. 13, 2018
Applicant:

Shenzhen Institutes of Advanced Technology, Shenzhen, CN;

Inventors:

Shanshan Wang, Shenzhen, CN;

Taohui Xiao, Shenzhen, CN;

Hairong Zheng, Shenzhen, CN;

Xin Liu, Shenzhen, CN;

Dong Liang, Shenzhen, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); G06T 11/00 (2006.01); A61B 5/02 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/004 (2013.01); A61B 5/055 (2013.01); A61B 5/7257 (2013.01); A61B 5/7267 (2013.01); G06T 11/005 (2013.01); A61B 5/02007 (2013.01); A61B 2576/02 (2013.01); G06T 2207/10064 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01); G06T 2210/36 (2013.01); G06T 2210/41 (2013.01);
Abstract

A method for magnetic resonance imaging and plaque recognition includes: obtaining magnetic resonance undersampled K-space data; transforming the magnetic resonance undersampled K-space data to an image domain through inverse Fourier transform to obtain a preprocessed image; reconstructing the preprocessed image through a pre-established deep learning reconstruction model to obtain a high-resolution imaging image of a blood vessel wall; and recognizing plaques in the high-resolution imaging image of the blood vessel wall through a pre-established deep learning plaque recognition model. A neural network corresponding to the pre-established deep learning reconstruction model is a dense connection network. The magnetic resonance undersampled K-space data is head-and-neck combined magnetic resonance undersampled K-space data of the blood vessel wall.


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