公开(公告)号：US20200241099A1

公开(公告)日：2020-07-30

申请号：US16645798

申请日：2015-12-30

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Hairong ZHENG ,  Xin LIU ,  Chuanli CHENG ,  Chao ZOU

IPC: G01R33/565

Abstract: A method, an apparatus, and a device for magnetic resonance chemical shift encoding imaging are provided. The method includes in a phasor-error spectrum established based on a simplified multi-point magnetic resonance signal model, determining a pixel point having a unique phase factor value and causing the phasor-error spectrum to reach a local minimum value as an initial seed point; estimating a phase factor value of a pixel point to be estimated according to the initial seed point to obtain a field map; mapping and merging the field maps at the highest resolution to obtain a reconstructed field map; determining a reconstructed seed point from the reconstructed field map, and estimating the reconstructed seed point to obtain a phase factor value of a reconstructed pixel point to be estimated.

公开(公告)号：US20180267125A1

公开(公告)日：2018-09-20

申请号：US15986462

申请日：2018-05-22

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Lei ZHANG ,  Yiu-Cho CHUNG ,  Xin LIU ,  Xiaoqing HU ,  Hairong ZHENG

IPC: G01R33/565 ,  G01R33/56 ,  G01R33/50 ,  A61B5/02 ,  G06T11/00

Abstract: A magnetic resonance vessel wall imaging method and device. The method comprises: applying a set pulse sequence into an imaging region, wherein the set pulse sequence comprises, in chronological order, a Delay Alternating with Nutation for Tailored Excitation (DANTE) pulse train, a variable flip angle train of a three-dimensional fast spin echo (SPACE), and a flip-down pulse train (S110); acquiring a magnetic resonance signal generated in the imaging region, and reconstructing a magnetic resonance images of the vessel wall in the imaging region according to the magnetic resonance signal (S120). By adding the flip-down pulse train behind the variable flip angle train of the three-dimensional fast spin echo (SPACE), the cerebrospinal fluid signals of the whole brain can be further suppressed effectively and uniformly, and the DANTE pulse train promotes the vessel wall imaging of the head and neck jointing portion.

公开(公告)号：US20240046440A1

公开(公告)日：2024-02-08

申请号：US18546425

申请日：2021-04-14

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Shanshan WANG ,  Hairong ZHENG ,  Kehan QI ,  Chuyu RONG ,  Xin LIU

IPC: G06T7/00 ,  G06T15/00 ,  G06V10/44

CPC classification number: G06T7/0002 ,  G06T15/00 ,  G06V10/44 ,  G06T2207/20084 ,  G06T2207/30168

Abstract: An image data quality evaluation method and apparatus, a terminal device, and a readable storage medium. The image data quality evaluation method includes: inputting three-dimensional image data to be evaluated into a feature extraction network model for processing to obtain a feature matrix; processing the feature matrix on the basis of a plurality, of branch network models in a hypemetwork model to obtain a plurality of parameter matrixes, and respectively adjusting, on the basis of the plurality of parameter matrixes, parameters of a plurality of fully connected layers in a corresponding regression model; and processing the feature matrix on the basis of the adjusted regression model to obtain a quality evaluation score. The dynamic adjustment of parameters of a model is implemented on the basis of content of input data, so that the processing efficiency and the quality evaluation precision for three-dimensional image data are improved.

公开(公告)号：US20220262498A1

公开(公告)日：2022-08-18

申请号：US17739121

申请日：2022-05-08

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Na ZHANG ,  Hairong ZHENG ,  Xin LIU ,  Zhanli HU ,  Zhiyuan HUANG ,  Dong LIANG

IPC: G16H30/40 ,  G06V10/75 ,  G06T5/00 ,  G06V10/774 ,  G06N3/08

Abstract: A medical image processing method and processing apparatus, and a computer readable storage medium. The method includes: obtaining a to-be-processed image; performing a feature extraction on the to-be-processed image to obtain a corresponding feature image; and re-determining a pixel value of each pixel in the to-be-processed image based on first information and second information of a corresponding pixel in the feature image, and processing the to-be-processed image; wherein the first information is information of a pixel adjacent to the corresponding pixel in the features image, and the second information is information of a pixel that is not adjacent to and is similar to the corresponding pixel in the features image.

公开(公告)号：US20200292651A1

公开(公告)日：2020-09-17

申请号：US16888882

申请日：2020-06-01

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Hairong ZHENG ,  Xin LIU ,  Chao ZOU ,  Chuanli CHENG ,  Yangzi QIAO ,  Changjun TIE

IPC: G01R33/48 ,  G01R33/50

Abstract: The present invention provides a magnetic resonance temperature imaging method and apparatus, and relates to the field of magnetic resonance. According to the magnetic resonance temperature imaging method and apparatus, accuracy and precision of a water-fat tissue temperature image at a current moment are improved by using a two-step iterative temperature estimation algorithm, a magnetic resonance signal model includes multiple fat peaks, and a fourth strength amplitude value of a water signal, a fourth strength amplitude value of a fat signal, a fourth field drift caused by a non-uniform main magnetic field, and the water-fat tissue temperature image at the current moment that minimize a difference between signal strength and signal strength before fitting are estimated.

公开(公告)号：US20200256942A1

公开(公告)日：2020-08-13

申请号：US16760956

申请日：2017-12-01

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Shanshan WANG ,  Dong LIANG ,  Sha TAN ,  Xin LIU ,  Hairong ZHENG

IPC: G01R33/561 ,  G01R33/56 ,  G06T11/00

Abstract: Provided are a parallel magnetic resonance imaging method and apparatus based on adaptive joint sparse codes and a computer-readable medium. The method includes solving an l2−lF−l2,1 minimization objective, where the l2 norm is a data fitting term, the lF norm is a sparse representation error, and the l2,1 mixed norm is the joint sparsity constraining across multiple channels; separately updating each of a sparse matrix, a dictionary and K-space data with a corresponding algorithm, and obtaining a reconstructed image by a sum of root mean squares of all the channels. The joint sparsity of the channels is developed using the norm l2,1. In this manner, calibration is not required while information sparsity is developed. Moreover, the method is robust.