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公开(公告)号：US20240046459A1
公开(公告)日：2024-02-08
申请号：US18265685
申请日：2020-12-08
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor： Zhanli HU , Hairong ZHENG , Dong LIANG , Yongfeng YANG , Xin LIU , Yingjie XU
IPC: G06T7/00 , G06V10/762
CPC classification number: G06T7/0012 , G06V10/762 , G06T2207/10088 , G06T2207/10104
Abstract: A low-dose PET image restoration method and system, a device, and a medium are provided. The method includes: S1, performing blocking processing on a training image comprising a low-dose PET image, an MR image, and a standard-dose PET image to obtain a first patch, and performing first preprocessing on the first patch to obtain a second patch; S2, obtaining, according to the second patch, a first joint dictionary by means of sparse coding and dictionary updating; and S3, restoring the low-dose PET image to a restored image of the standard-dose PET image according to the first joint dictionary.
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公开(公告)号：US20230047647A1
公开(公告)日：2023-02-16
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 , G06V10/42 , G06T11/00
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.
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公开(公告)号：US20220319069A1
公开(公告)日：2022-10-06
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
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.
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14.发明申请公开(公告)号：US20210396829A1
公开(公告)日：2021-12-23
申请号：US16977818
申请日：2017-11-27
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor： Chao ZOU , Chuanli CHENG , Xin LIU , Hairong ZHENG
IPC: G01R33/565 , G01R33/48 , G01R33/56 , G01R33/561
Abstract: An eddy-current correction method and apparatus, a mobile terminal and a readable storage medium are provided. The method includes: step S1: reading gradient-recalled echo sequence by means of bipolarity, so as to acquire a multi-echo image; step S2: estimating a first-order term coefficient of an extra phase term introduced by an eddy-current in the acquired multi-echo image; step S3: removing the estimated first-order term coefficient, and estimating a zero-order term coefficient of the extra phase term introduced by the eddy-current in the collected multi-echo image; step S4: removing, according to the estimated first-order term coefficient and the zero-order term coefficient, an error of the extra phase term introduced by the eddy-current. The eddy-current correction method removes the phase error caused by the eddy-current in the acquired image, thereby ensuring the correctness of the subsequent water-fat separation algorithm result.
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15.发明申请公开(公告)号：US20210335479A1
公开(公告)日：2021-10-28
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
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.
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Patent Agency Ranking
16.发明申请公开(公告)号：US20210248728A1
公开(公告)日：2021-08-12
申请号：US16976474
申请日：2020-02-10
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor： Zhan Li HU , Dong LIANG , Yong Chang LI , Hai Rong ZHENG , Yong Feng YANG , Xin LIU
Abstract: The present disclosure discloses a method and a system for generating a composite PET-CT image based on a non-attenuation-corrected PET image. The method includes: constructing a first generative adversarial network and a second generative adversarial network; obtaining a mapping relationship between a non-attenuation-corrected PET image and an attenuation-corrected PET image by training the first generative adversarial network; obtaining a mapping relationship between the attenuation-corrected PET image and a CT image by training the second generative adversarial network; and generating the composite PET-CT image by utilizing the obtained mapping relationships. According to the present disclosure, a high-quality PET-CT image can be directly composited from a non-attenuation-corrected PET image, and medical costs can be reduced for patients, and radiation doses applied to the patients in examination processes can be minimized.
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公开(公告)号：US20200309885A1
公开(公告)日：2020-10-01
申请号：US16309351
申请日：2017-12-29
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor： Yin WU , Hairong ZHENG , Xin LIU
IPC: G01R33/56
Abstract: Provided is a method for measuring pH. Using amide protons as an endogenous contrast agent, a chemical exchange saturation transfer effect ratio R of amide protons corresponding to a pH-known amide proton solution under different saturation powers is measured by the method, then a function relation between pH and R is established according to different pH-known amide proton solutions and the corresponding measured R thereto, and finally the desired pH is calculated according to experimentally measured Ri and the function relation. The method can eliminate the impact of concentration and does not require any estimation or measurement of the parameters such as the concentration of exchangeable protons, the longitudinal relaxation time of water, etc., and therefore can measure pH more accurately, conveniently and non-invasively.
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18.发明申请公开(公告)号：US20250148746A1
公开(公告)日：2025-05-08
申请号：US19019221
申请日：2025-01-13
Inventor： Hao PENG , Chao ZOU , Chuanli CHENG , Xin LIU , Hairong ZHENG
Abstract: The present disclosure discloses a chemical shift coded imaging method based on a transition region and regional iterative phasor extraction. Acquiring an initial image, and determining an initial phasor solution of the transition region based on the initial image; performing regional iterative phasor extraction in at least two set directions by taking the initial phasor solution as initial information, and obtaining a target phasor solution based on a regional iterative phasor extraction result corresponding to each set direction; and determining a first chemical composition signal and a second chemical composition signal based on the target phasor solution, and performing chemical shift coded imaging based on the first chemical composition signal and/or the second chemical composition signal. By means of regional iterative phasor extraction in a plurality of dimensions, wrong phasor information is transferred independently along different dimensions, wrong information transferred in different directions is excluded.
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19.发明申请公开(公告)号：US20210356545A1
公开(公告)日：2021-11-18
申请号：US16473806
申请日：2018-07-24
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor： Haifeng WANG , Dong LIANG , Sen JIA , Xin LIU , Hairong ZHENG
IPC: G01R33/561 , G01R33/56 , G01R33/58
Abstract: There are provided a parallel rapid imaging method and device based on a complex number conjugate symmetry of multi-channel coil data and nonlinear GRAPPA image reconstruction, and a medium. The imaging method includes: obtaining virtual conjugate coil data by expanding the actual multi-channel coil data; combining actual multi-channel coil data and virtual multi-channel coil data to obtain a linear data term and a nonlinear data term; calibrating weighting factors of the linear data term and the nonlinear data term by using combined low-frequency full-sampling data (margins of the low-frequency full-sampling data includes parts of high-frequency data); reconstructing data which is under-sampled in a high-frequency region according to the calibrated weighting factors; fusing the low-frequency full-sampling data and the reconstructed data for the high-frequency region.
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公开(公告)号：US20210166442A1
公开(公告)日：2021-06-03
申请号：US17047062
申请日：2018-05-17
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor： Yanjie ZHU , Yuanyuan LIU , Dong LIANG , Xin LIU , Hairong ZHENG
IPC: G06T11/00 , G01R33/56 , G01R33/561
Abstract: Provided are a method and device for magnetic resonance parameter imaging, medical equipment, and a storage medium. The method comprises: performing acceleration sampling with respect to an image to be reconstructed of an observation target in a preset parameter direction to acquire K-space data corresponding to the image to be reconstructed, calculating, on the basis of the K-space data and of a parameter relaxation model, a parameter value and a compensation coefficient of the image to be reconstructed, generating, on the basis of the compensation coefficient, a compensation image corresponding to the image to be reconstructed, calculating, on the basis of the compensation image, respectively a low-rank part and a sparse part of the image to be reconstructed so as to update the compensation image.
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