公开(公告)号：US11756191B2

公开(公告)日：2023-09-12

申请号：US16979535

申请日：2018-12-13

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Shanshan Wang ,  Taohui Xiao ,  Hairong Zheng ,  Xin Liu ,  Dong Liang

IPC: G06T7/00 ,  A61B5/00 ,  A61B5/055 ,  G06T11/00 ,  A61B5/02

CPC classification number: G06T7/0012 ,  A61B5/004 ,  A61B5/055 ,  A61B5/7257 ,  A61B5/7267 ,  G06T11/005 ,  A61B5/02007 ,  A61B2576/02 ,  G06T2207/10064 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30101 ,  G06T2210/36 ,  G06T2210/41

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.