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公开(公告)号：US20240070938A1
公开(公告)日：2024-02-29
申请号：US18238605
申请日：2023-08-28
Applicant: Rensselaer Polytechnic Institute
IPC: G06T11/00
CPC classification number: G06T11/008 , G06T11/005 , G06T2211/412 , G06T2211/428 , G06T2211/441
Abstract: In one embodiment, there is provided a dynamic multi-source image reconstruction apparatus. The apparatus includes a first reconstruction stage, a second reconstruction stage, and a refinement stage. The first reconstruction stage is configured to receive an input data set including a group of data frames. Each data frame corresponds to a respective time step. Each data frame includes a number of projection data sets. Each projection data set corresponds to a respective source-detector pair of a stationary multi-source tomography system. The first reconstruction stage is further configured to reconstruct a first intermediate image based, at least in part, on the group of data frames. The second reconstruction stage is configured to receive a selected data frame and to reconstruct a second intermediate image with a constraint of the first intermediate image as prior. The refinement stage is configured to refine the second intermediate image to produce a three-dimensional output image.
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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：US20230394631A1
公开(公告)日：2023-12-07
申请号：US18035571
申请日：2021-11-05
Applicant: Rensselaer Polytechnic Institute
Inventor： Ge Wang , Chuang Niu
IPC: G06T5/00
CPC classification number: G06T5/002 , G06T2207/20081 , G06T2207/20084 , G06T2207/10056 , G06T2207/10081 , G06T2207/10076 , G06T2207/10088
Abstract: One embodiment provides a method of training an artificial neural network (ANN) for denoising. The method includes generating, by a similarity module, a respective set of similar elements for each noisy input element of a number of noisy input elements included in a single noisy input data set. Each noisy input element includes information and noise. The method further includes generating, by a sample pair module, a plurality of training sample pairs. Each training sample pair includes a pair of selected similar elements corresponding to a respective noisy input element. The method further includes training, by a training module, an ANN using the plurality of training sample pairs. Each set of similar elements is generated prior to training the ANN. The plurality of training sample pairs is generated during training the ANN. The training is unsupervised.
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公开(公告)号：US11701073B2
公开(公告)日：2023-07-18
申请号：US17354286
申请日：2021-06-22
Applicant: Rensselaer Polytechnic Institute
Inventor： Daniel David Harrison , Ge Wang
CPC classification number: A61B6/4035 , A61B6/032 , A61B6/4085 , A61B6/5258 , A61B6/4007 , A61B6/482
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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Patent Agency Ranking
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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公开(公告)号：US20220230278A1
公开(公告)日：2022-07-21
申请号：US17564728
申请日：2021-12-29
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Ge Wang , Chenyu You , Wenxiang Cong , Hongming Shan
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：US11382574B2
公开(公告)日：2022-07-12
申请号：US16761543
申请日：2018-11-06
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Ge Wang , Wenxiang Cong , Qingsong Yang , Guang Li
IPC: A61B6/03 , A61B6/00 , G01N23/041
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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公开(公告)号：US11337663B2
公开(公告)日：2022-05-24
申请号：US16092393
申请日：2017-04-06
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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