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公开(公告)号：US20220188978A1
公开(公告)日：2022-06-16
申请号：US17340117
申请日：2021-06-07
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor： Zhanli HU , Hairong ZHENG , Na ZHANG , Xin LIU , Dong LIANG , Yongfeng YANG , Hanyu SUN
Abstract: The present application relates to a method and system for generating multi-task learning-type generative adversarial network for low-dose PET reconstruction, and relates to the field of deep learning. The method includes connecting layers of the encoder with layers of the decoder by skip connection to provide a U-Net type picture generator; generating a group of generative adversarial networks by matching a plurality of picture generators with a plurality of discriminators in one-to-one manner; obtaining a first multi-task learning-type generative adversarial network; designing a joint loss function 1 for improving image quality; and training the first multi-task learning-type generative adversarial network according to the joint loss function 1 in combination with an optimizer to provide a second multi-task learning-type generative adversarial network.
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2.发明申请公开(公告)号：US20200229794A1
公开(公告)日：2020-07-23
申请号：US16482802
申请日：2017-12-26
Applicant: Shenzhen Institutes of Advanced Technology
Inventor： Yang XIAO , Hairong ZHENG , Congzhi WANG , Lili NIU , Zhiting DENG
IPC: A61B8/08
Abstract: A method and a device for acquiring biomechanical parameters based on an ultrasonic elastomyogram are provided, wherein the method includes: synchronously collecting a dynamic myodynamics image sequence and a dynamic elasticity image sequence of a single skeletal muscle under continuous stretching; acquiring a myodynamics parameter corresponding to each myodynamics image in the dynamic myodynamics image sequence and an elasticity modulus value corresponding to each elasticity image in the dynamic elasticity image sequence respectively; and generating an ultrasonic elastomyogram curve with the myodynamics parameter as the abscissa and the synchronized elasticity modulus value as the ordinate, and estimating a muscle biomechanical parameter based on the ultrasonic elastomyogram curve. Dynamically changing biomechanical parameters can be obtained, and the obtained muscle biomechanical parameters have relatively high accuracy.
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3.发明申请公开(公告)号：US20170363702A1
公开(公告)日：2017-12-21
申请号：US15618979
申请日：2017-06-09
Inventor： Xi PENG , Dong LIANG , Xin LIU , Hairong ZHENG
IPC: G01R33/563 , G01R33/56
CPC classification number: G01R33/56341 , A61B5/055 , A61B5/7203 , G01R33/5602 , G06T5/002 , G06T2207/10092
Abstract: The application provides a method, apparatus and computer program product for denoising a magnetic resonance diffusion tensor, wherein the method comprises: collecting data of K space; calculating a maximum likelihood estimator of a diffusion tensor according to the collected data of K space; calculating a maximum posterior probability estimator of the diffusion tensor by using sparsity of the diffusion tensor and sparsity of a diffusion parameter and taking the calculating maximum likelihood estimator as an initial value; and calculating the diffusion parameter according to the calculated maximum posterior probability estimator. The application solves the technical problem in the prior art of how to realize high precision denoising of diffusion tensor while not increasing scanning time and affecting spatial resolution, achieves the technical effects of effectively suppressing noises in the diffusion tensor and improving the estimation accuracy of the diffusion tensor.
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公开(公告)号：US20160370444A1
公开(公告)日：2016-12-22
申请号：US15103845
申请日：2014-12-05
Inventor： Xi PENG , Dong LIANG , Xin LIU , Hairong ZHENG
IPC: G01R33/50 , G01R33/561 , G01R33/56
CPC classification number: G01R33/561 , G01R33/50 , G01R33/5608 , G01R33/5611
Abstract: Disclosed is a magnetic resonance rapid parameter imaging method and system. The method comprises: obtaining a target undersampled magnetic resonance signal (S10); obtaining prior information of a parameter model (S20); performing sequence reconstruction of a target image according to the undersampled magnetic resonance signal and the prior information to obtain a target image sequence (S30); and substituting the target image sequence into the parameter estimation model to obtain object parameters and to generate parametric images (S40).
Abstract translation: 公开了一种磁共振快速参数成像方法和系统。 该方法包括：获得目标欠采样磁共振信号（S10）; 获取参数模型的先验信息（S20）; 根据欠采样的磁共振信号和先验信息执行目标图像的序列重构以获得目标图像序列（S30）; 并且将目标图像序列代入参数估计模型以获得对象参数并生成参数图像（S40）。
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5.发明申请公开(公告)号：US20250038393A1
公开(公告)日：2025-01-30
申请号：US18911015
申请日：2024-10-09
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor： Hairong ZHENG , Xinwei RONG , Ye LI , Jiasheng WANG , Jifeng CHEN , Xing YANG
Abstract: The invention relates to a directional coupler, coupling high power and low power is used to replace existing two high-power directional couplers, thus reducing the cost and reducing the insertion loss of high-power radio frequency channels. The directional coupler cooperates with a control conditioning board, a splitter, a multi-path radio frequency power amplifier and a combiner to form the radio frequency power amplifier system, and the system is connected to a spectrometer; on one hand, by using a standard signal output by the spectrometer and a feedback signal of the directional coupler, nonlinearity caused by the power amplifier is corrected to achieve magnet-free linear radio frequency power amplification and anomaly protection; and on the other hand, the spectrometer can be used for monitoring the output power of the directional coupler and monitoring antenna matching, so as to provide dual protection for the radio frequency power amplifier system.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20240046440A1
公开(公告)日：2024-02-08
申请号：US18546425
申请日：2021-04-14
Inventor： Shanshan WANG , Hairong ZHENG , Kehan QI , Chuyu RONG , Xin LIU
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.
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7.发明申请公开(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.
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公开(公告)号：US20210308676A1
公开(公告)日：2021-10-07
申请号：US16769103
申请日：2018-12-21
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor： Hairong ZHENG , Fei LI , Feiyan CAI , Long MENG , Yang XIAO , Fei YAN
Abstract: A microfluidic system, including: a container, an ultrasound transmitter assembly, and a phononic crystal plate. The container is configured to accommodate a solution containing microparticles. The ultrasound transmitter assembly is configured to transmit ultrasonic waves to the phononic crystal plate, where the ultrasonic waves have a frequency which is the same as a resonance frequency of the phononic crystal plate. The phononic crystal plate is placed in the solution, and configured to generate a local acoustic field on a surface of the phononic crystal plate under excitation of the ultrasonic waves, and induce an acoustic microstreaming vortex to generate an acoustic streaming shear stress on the microparticles. The phononic crystal plate defines therein cavities, the respective cavities are arranged periodically in the phononic crystal plate, and all the respective cavities are filled with gas.
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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
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.
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10.发明申请公开(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.
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