公开(公告)号：US11918335B2

公开(公告)日：2024-03-05

申请号：US17010870

申请日：2020-09-03

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Haifeng Wang ,  Dong Liang ,  Hairong Zheng ,  Xin Liu ,  Shi Su ,  Zhilang Qiu

IPC: A61B5/055 ,  G01R33/28 ,  G01R33/48

CPC classification number: A61B5/055 ,  G01R33/28 ,  G01R33/48

Abstract: A magnetic resonance imaging method includes: obtaining three-dimensional under-sampling data of a target object based on a first three-dimensional magnetic resonance imaging sequence; obtaining a three-dimensional point spread function based on the three-dimensional under-sampling data or a two-dimensional mapping data of the target object; obtaining a sensitivity map of the target object based on the data collected by three-dimensional low-resolution complete sampling; performing imaging reconstruction to the three-dimensional under-sampling data based on the three-dimensional point spread function and the sensitivity map to obtain a reconstructed magnetic resonance image. The first three-dimensional magnetic resonance imaging sequence has a first sinusoidal gradient field on a phase direction and a second sinusoidal gradient field on a layer selection direction. 0-order moments of the first and the second three-dimensional magnetic resonance imaging sequences are 0. A phase difference between the first and the second three-dimensional magnetic resonance imaging sequence is π/2.

公开(公告)号：US11915401B2

公开(公告)日：2024-02-27

申请号：US17284794

申请日：2020-12-09

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Dong Liang ,  Zhanli Hu ,  Hairong Zheng ,  Xin Liu ,  Qingneng Li ,  Yongfeng Yang

IPC: G06T5/50 ,  G06T7/00 ,  G16H30/40

CPC classification number: G06T5/50 ,  G06T3/4046 ,  G06T7/0012 ,  G16H30/40 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20212 ,  G06T2207/30004

Abstract: An apriori guidance network for multitask medical image synthesis is provided. The apriori guidance network includes a generator and a discriminator, wherein the generator includes an apriori guidance module configured to convert an input feature map into a target modal image pointing to a target domain according to an apriori feature, and the apriori feature is a deep feature of the target modal image. The generator is configured to generate a corresponding target domain image by taking the apriori feature of the target modal image and source modal image data as an input. The discriminator is configured to discriminate an authenticity of the target domain image outputted by the generator.

公开(公告)号：US11699513B2

公开(公告)日：2023-07-11

申请号：US16626661

申请日：2018-12-29

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES ,  SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.

Inventor： Dong Liang ,  Chao Zou ,  Qiang He ,  Guobin Li ,  Qiang Zhang ,  Xin Liu ,  Hairong Zheng

IPC: G16H30/20 ,  G16H40/60 ,  G06F21/31 ,  G06F3/12

CPC classification number: G16H30/20 ,  G06F21/31 ,  G16H40/60 ,  G06F3/1204

Abstract: Disclosed are information transmission method, apparatus, device and medium for medical imaging application. The method includes: an imaging device corresponding to an application authorization request is determined according to the received application authorization request, and an application permission profile of the imaging device is acquired; and a medical imaging application corresponding to the imaging device is determined according to the application permission profile of the imaging device, and medical imaging application information corresponding to the medical imaging application is transmitted to the imaging device.

公开(公告)号：US20190195972A1

公开(公告)日：2019-06-27

申请号：US16261610

申请日：2019-01-30

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Ye Li ,  Qiaoyan Chen ,  Rou Li ,  Chao Luo ,  Jianhong Wen ,  Chao Zou ,  Xin Liu

IPC: G01R33/3875 ,  G01R33/44 ,  G01R33/54 ,  G01R33/48 ,  A61B17/32 ,  A61B5/055

CPC classification number: G01R33/3875 ,  A61B5/055 ,  A61B17/320068 ,  A61B2017/320069 ,  G01R33/443 ,  G01R33/4814 ,  G01R33/543

Abstract: A local shimming system for magnetic resonance imaging and the method thereof, wherein the shimming method comprises the following steps: collecting B0 field map information using two-dimensional gradient echo (301); calculating and evaluating the homogeneity of B0 (302); optimizing the current of each channel shim coil (303); determining whether the minimum standard deviation value of Δf is obtained (304); outputting an optimal current combination values and setting an optimum current value corresponding to each channel of the shim coil on the current control software (305); and testing and evaluating the homogeneity of B0 to achieve the shimming goal (306).

公开(公告)号：US20160047873A1

公开(公告)日：2016-02-18

申请号：US14781297

申请日：2013-03-29

Applicant: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Inventor： Yiu-cho Chung ,  Yanjie Zhu ,  Xin Liu ,  Hairong Zheng

IPC: G01R33/561 ,  G01R33/56

CPC classification number: G01R33/5614 ,  G01R33/5602 ,  G01R33/5608

Abstract: A fast magnetic resonance imaging method and system, the method comprising: applying a periodic radio-frequency pulse train to drive the magnetization vector of an imaging volume into a steady state (102); acquiring a free induction decay (FID) signal and an echo signal alternately in a steady-state free precession sequence (104); conducting an FID signal imaging and a T2-weighted imaging (106). Alternate acquisition of the FID signal and the echo signal in the steady-state free precession sequence effectively increases the signal-to-noise ratio (SNR) of the acquired signals and reduces the sensitivity of the sequence to motions.

Abstract translation: 一种快速磁共振成像方法和系统，所述方法包括：应用周期性射频脉冲串将成像体积的磁化矢量驱动到稳定状态（102）; 在稳态自由进动序列（104）中交替地获取自由感应衰减（FID）信号和回波信号; 进行FID信号成像和T2加权成像（106）。 FID信号和稳态自由进动序列中的回波信号的交替采集有效地增加了获取的信号的信噪比（SNR），并降低了序列对运动的灵敏度。

公开(公告)号：US12276713B2

公开(公告)日：2025-04-15

申请号：US17921465

申请日：2020-07-23

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Ye Li ,  Feng Du ,  Nan Li ,  Xing Yang ,  Qiaoyan Chen ,  Xin Liu ,  Hairong Zheng

IPC: G01R33/36 ,  G01R33/3415

Abstract: Provided is a quad-core radio-frequency coil circuit. The quad-core radio-frequency coil circuit includes a coil module (1) and a front-end module (2). The coil module (1) is configured to receive a nuclear magnetic test signal and, according to the nuclear magnetic test signal, generate an induction signal. The front-end module (2) is connected to the coil module (1) and configured to generate the nuclear magnetic test signal and collect the induction signal.

公开(公告)号：US12224057B2

公开(公告)日：2025-02-11

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: G16H30/00 ,  G06N3/084 ,  G06T5/70 ,  G06V10/75 ,  G06V10/774 ,  G16H30/40

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：US12190568B2

公开(公告)日：2025-01-07

申请号：US17889189

申请日：2022-08-16

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Hairong Zheng ,  Xin Liu ,  Na Zhang ,  Zhanli Hu ,  Qihang Chen ,  Dong Liang ,  Yongfeng Yang

IPC: G06V10/774 ,  A61B5/055 ,  G06T11/00 ,  G06V10/42

Abstract: Methods and apparatuses for training a magnetic resonance imaging model, electronic devices and computer readable storage media are provided. A method may include: acquiring a magnetic resonance image data set; constructing a ring deep neural network to be trained; inputting an under-sampled magnetic resonance image and a full-sampled magnetic resonance image respectively to two neural networks included in the ring deep neural network, to generate respective simulated magnetic resonance images; inputting a first simulated full-sampled magnetic resonance image and the full-sampled magnetic resonance image to a pre-constructed first simulated magnetic resonance image class discrimination model, to obtain a first discrimination result indicating whether or not the first simulated full-sampled magnetic resonance image is of a simulated magnetic resonance image class; and adjusting a network parameter of the ring deep neural network based on a preset loss function, to obtain a trained magnetic resonance imaging model.

公开(公告)号：US12153175B2

公开(公告)日：2024-11-26

申请号：US17824453

申请日：2022-05-25

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Zhanli Hu ,  Yongfeng Yang ,  Chunhui Zhang ,  Zhonghua Kuang ,  Xiaohui Wang ,  San Wu ,  Dong Liang ,  Xin Liu ,  Hairong Zheng

IPC: G01T1/29 ,  A61B6/00 ,  A61B6/03 ,  G06T11/00

Abstract: A method for processing positron emission tomography data is provided, this method includes: obtaining a first coordinate and a second coordinate respectively corresponding to two ends of a response line to be processed; determining corresponding dimensional coordinates of the response line to be processed in a sinogram based on the first coordinate and the second coordinate; and generating the sinogram corresponding to the response line to be processed based on the dimensional coordinates. According to this method, the amount of calculation of system matrix is reduced, the accuracy of position information of the generated response line is improved, and the accuracy of generated sinogram is improved accordingly.

公开(公告)号：US12020351B2

公开(公告)日：2024-06-25

申请号：US17433081

申请日：2020-12-18

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Zhanli Hu ,  Hairong Zheng ,  Dong Liang ,  Xin Liu ,  Yongfeng Yang ,  Dongfang Gao

IPC: G06T11/00 ,  A61B6/03 ,  G06V10/77

CPC classification number: G06T11/006 ,  A61B6/037 ,  G06T11/008 ,  G06V10/7715 ,  G06T2211/40

Abstract: A method, device and equipment for reconstructing a PET image are provided. The method includes acquiring a prior image comprising an anatomical image and an autocorrelation feature image, the autocorrelation feature image being determined based on gray-level co-occurrence matrix of the anatomical image; and acquiring a feature value of the prior image; reconstructing the PET image according to the feature value and an iterative algorithm.