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公开(公告)号：US20240041412A1
公开(公告)日：2024-02-08
申请号：US18381214
申请日：2023-10-18
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Huidong Xie , Ge Wang , Hongming Shan , Wenxiang Cong
CPC classification number: A61B6/032 , G06T11/005 , G06T11/006 , A61B6/5205 , G06T2211/421 , G06T2211/436
Abstract: A system for few-view computed tomography (CT) image reconstruction is described. The system includes a preprocessing module, a first generator network, and a discriminator network. The preprocessing module is configured to apply a ramp filter to an input sinogram to yield a filtered sinogram. The first generator network is configured to receive the filtered sinogram, to learn a filtered back-projection operation and to provide a first reconstructed image as output. The first reconstructed image corresponds to the input sinogram. The discriminator network is configured to determine whether a received image corresponds to the first reconstructed image or a corresponding ground truth image. The generator network and the discriminator network correspond to a Wasserstein generative adversarial network (WGAN). The WGAN is optimized using an objective function based, at least in part, on a Wasserstein distance and based, at least in part, on a gradient penalty.
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公开(公告)号：US20230133386A1
公开(公告)日：2023-05-04
申请号：US17980948
申请日：2022-11-04
Applicant: Rensselaer Polytechnic Institute
Inventor： Ge Wang , Mengzhou Li , Zheng Fang , Wenxiang Cong
Abstract: In one embodiment, there is provided a micro-CT (computed tomography) apparatus. The micro-CT apparatus includes an x-ray source coupled to a source robotic arm, an x-ray detector coupled to a detector robotic arm, and a computing device. The computing device includes a data acquisition module and a reconstruction module. The data acquisition module is configured to acquire local scan data of a volume of interest (VOI) contained in an imaging object. The reconstruction module is configured to reconstruct an image of the VOI based, at least in part, on the local scan data, and based, at least in part, on background compensation data.
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公开(公告)号：US11313814B2
公开(公告)日：2022-04-26
申请号：US16955939
申请日：2018-12-20
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Ge Wang , Guang Li , Wenxiang Cong
IPC: G01N23/20008 , G01N23/201 , G01N23/046 , G21K1/02 , A61B6/03
Abstract: A detection scheme for x-ray small angle scattering is described. An x-ray small angle scattering apparatus may include a first grating and a complementary second grating. The first grating includes a plurality of first grating cells. The complementary second grating includes a plurality of second grating cells. The second grating is positioned relative to the first grating. A configuration of the first grating, a configuration of the second grating and the relative positioning of the grating are configured to pass one or more small angle scattered photons and to block one or more Compton scattered photons and one or more main x-ray photons.
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公开(公告)号：US11049244B2
公开(公告)日：2021-06-29
申请号：US16621800
申请日：2018-06-18
Applicant: Rensselaer Polytechnic Institute
Inventor： Ge Wang , Mannudeep Kalra , Juergen Hahn , Uwe Kruger , Wenxiang Cong , Hongming Shan
Abstract: Computed tomography (CT) screening, diagnosis, or another image analysis tasks are performed using one or more networks and/or algorithms to either integrate complementary tomographic image reconstructions and radiomics or map tomographic raw data directly to diagnostic findings in the machine learning framework. One or more reconstruction networks are trained to reconstruct tomographic images from a training set of CT projection data. One or more radiomics networks are trained to extract features from the tomographic images and associated training diagnostic data. The networks/algorithms are integrated into an end-to-end network and trained. A set of tomographic data, e.g., CT projection data, and other relevant information from an individual is input to the end-to-end network, and a potential diagnosis for the individual based on the features extracted by the end-to-end network is produced. The systems and methods can be applied to CT projection data, MRI data, nuclear imaging data, ultrasound signals, optical data, other types of tomographic data, or combinations thereof.
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公开(公告)号：US20200261030A1
公开(公告)日：2020-08-20
申请号：US16761543
申请日：2018-11-06
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Ge Wang , Wenxiang Cong , Qingsong Yang , Guang Li
Abstract: A stationary in-vivo grating-enabled micro-CT (computed tomography) architecture (SIGMA) system includes CT scanner control circuitry and a number of imaging chains. Each imaging chain includes an x-ray source array, a phase grating, an analyzer grating and a detector array. Each imaging chain is stationary and each x-ray source array includes a plurality of x-ray source elements. Each imaging chain has a centerline, the centerlines of the number of imaging chains intersect at a center point and a first angle between the centerlines of a first adjacent pair of imaging chains equals a second angle between the centerlines of a second adjacent pair of imaging chains. A plurality of selected x-ray source elements of a first x-ray source array is configured to emit a plurality of x-ray beams in a multiplexing fashion.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20180192980A1
公开(公告)日：2018-07-12
申请号：US15741026
申请日：2016-07-20
Inventor： Ge Wang , Wenxiang Cong , Zaifeng Shi , Shuo Pang
IPC: A61B6/00
CPC classification number: A61B6/484 , A61B6/032 , A61B6/4035 , A61B6/4291
Abstract: Novel and advantageous systems and methods for performing X-ray imaging by extracting X-ray phase-shift and/or dark-field information through a detector that has built-in G2 functionality are provided. Grating translation can be replaced by an electrical operation in the detection procedure, thereby eliminating the need for the analyzer grating and the typical mechanical stepping process.
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公开(公告)号：US11893661B2
公开(公告)日：2024-02-06
申请号：US17194946
申请日：2021-03-08
Applicant: University of Iowa Research Foundation , Shandong University , Shandong Provincial Chest Hospital , Rensselaer Polytechnic Institute
Inventor： Wenxiang Cong , Ye Yangbo , Ge Wang , Shuwei Mao , Yingmei Wang
CPC classification number: G06T11/006 , A61B6/032 , G06T11/003 , G06T11/005 , G06T2211/408 , G06T2211/424
Abstract: The disclosed apparatus, systems and methods relate to a framelet-based iterative algorithm for polychromatic CT which can reconstruct two components using a single scan. The algorithm can have various steps including a scaled-gradient descent step of constant or variant step sizes; a non-negativity step; a soft thresholding step; and a color reconstruction step.
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公开(公告)号：US11854160B2
公开(公告)日：2023-12-26
申请号：US17564728
申请日：2021-12-29
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Ge Wang , Chenyu You , Wenxiang Cong , Hongming Shan
CPC classification number: G06T3/4076 , G06N3/045
Abstract: A system for generating a high resolution (HR) computed tomography (CT) image from a low resolution (LR) CT image is described. The system includes a first generative adversarial network (GAN) and a second GAN. The first GAN includes a first generative neural network (G) configured to receive a training LR image dataset and to generate a corresponding estimated HR image dataset, and a first discriminative neural network (DY) configured to compare a training HR image dataset and the estimated HR image dataset. The second GAN includes a second generative neural network (F) configured to receive the training HR image dataset and to generate a corresponding estimated LR image dataset, and a second discriminative neural network (DX) configured to compare the training LR image dataset and the estimated LR image dataset. The system further includes an optimization module configured to determine an optimization function based, at least in part, on at least one of the estimated HR image dataset and/or the estimated LR image dataset. The optimization function contains at least one loss function. The optimization module is further configured to adjust a plurality of neural network parameters associated with at least one of the first GAN and/or the second GAN, to optimize the optimization function.
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公开(公告)号：US11423591B2
公开(公告)日：2022-08-23
申请号：US16481298
申请日：2017-05-23
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Ge Wang , Wenxiang Cong , Qingsong Yang
Abstract: Systems and methods for reconstructing images for computed tomography are provided. Image reconstruction can be based on a realistic polychromatic physical model, and can include use of both an analytical algorithm and a single-variable optimization method. The optimization method can be used to solve the non-linear polychromatic X-ray integral model in the projection domain, resulting in an accurate decomposition for sinograms of two physical basis components.
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公开(公告)号：US20220257203A1
公开(公告)日：2022-08-18
申请号：US17734311
申请日：2022-05-02
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Ge Wang , Wenxiang Cong , Yan Xi
Abstract: Systems and method for performing X-ray computed tomography (CT) that can improve spectral separation and decrease motion artifacts without increasing radiation dose are provided. The systems and method can be used with either a kVp-switching source or a single-kVp source. When used with a kVp-switching source, an absorption grating and a filter grating can be disposed between the X-ray source and the sample to be imaged. Relative motion of the filter and absorption gratings can by synchronized to the kVp switching frequency of the X-ray source. When used with a single-kVp source, a combination of absorption and filter gratings can be used and can be driven in an oscillation movement that is optimized for a single-kVp X-ray source. With a single-kVp source, the absorption grating can also be omitted and the filter grating can remain stationary.
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