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公开(公告)号：US20190261930A1
公开(公告)日：2019-08-29
申请号：US16347828
申请日：2017-11-07
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Ge Wang , Qingsong Yang , Wenxiang Cong
Abstract: Methods and systems for stationary computed tomography are disclosed. The methods and systems include a gantry having alternating x-ray sources and x-ray detectors that are stationary during operation of the system. The gantry and pairs of x-ray sources and detectors substantially surrounds an object positioned inside the gantry during operation of the system. Dynamically adjustable collimators are positioned between the x-ray sources and the object. Each of the x-ray sources projects an x-ray beam through the collimators and through the object and the x-ray detectors receive the x-ray beam. The x-ray detectors include means for converting the x-ray beam to raw image data. One or more microprocessors control the x-ray sources and the process raw image data. A data storage device stores instructions, which upon execution by the microprocessor, control the x-ray sources and process the raw image data by converting the raw image data to a digital image.
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公开(公告)号：US20180353147A1
公开(公告)日：2018-12-13
申请号：US15579394
申请日：2016-06-06
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Ge Wang , Qingsong Yang , Wenxiang Cong
CPC classification number: A61B6/5205 , A61B6/037 , A61B6/481 , A61B6/5258 , G06T11/003 , G06T11/005 , G21H5/02
Abstract: Systems and methods for determining an attenuation sinogram for a time-of-flight (TOF) positron emission tomography (PET) scan using only TOF PET data, and including use of the total amount of tracer provided to the subject of the TOF PET scan, are provided. The total amount of injected tracer can be used to determine the otherwise unknown constant shift present when an attenuation sinogram is estimated using the gradient of the attenuation sinogram. The attenuation sinogram can therefore be accurately and stably determined without any additional knowledge on the attenuation sinogram or map.
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公开(公告)号：US20180325477A1
公开(公告)日：2018-11-15
申请号：US15775906
申请日：2016-11-14
Applicant: Rensselaer Polytechnic Institute
Inventor： Ge Wang , Lars Arne Gjesteby
IPC: A61B6/00 , A61B5/055 , A61B6/02 , A61B6/03 , A61B5/00 , G01R33/383 , G01R33/381 , G01R33/48
CPC classification number: A61B6/4417 , A61B5/0035 , A61B5/055 , A61B6/027 , A61B6/032 , A61B6/5217 , A61B6/5247 , G01R33/381 , G01R33/383 , G01R33/4812
Abstract: Systems and methods for obtaining simultaneous X-ray-magnetic resonance imaging (MRI) images are provided. A magnetic resonance X-ray CT (MRX) system can combine X-ray imaging and MRI in a cost-effective and relatively simple solution for improved imaging. During imaging of a subject, the X-ray source and X-ray detector can be simultaneously rotated around the subject, and the means for generating a magnetic field can also be rotated around the subject. The means for generating a magnetic field can be a plurality of permanent magnets.
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公开(公告)号：US20180192981A1
公开(公告)日：2018-07-12
申请号：US15741047
申请日：2016-07-27
Applicant: Rensselaer Polytechnic Institute
Inventor： Ge Wang , Wenxiang Cong
IPC: A61B6/00
CPC classification number: A61B6/484 , A61B6/032 , A61B6/4007 , A61B6/4021 , A61B6/4028 , A61B6/4035 , A61B6/405 , A61B6/4064 , A61B6/4225 , A61B6/4233 , A61B6/4241 , A61B6/4291 , G21K2207/005 , H01J29/488 , H01J35/14
Abstract: Novel and advantageous systems and methods for performing X-ray imaging by using an X-ray source with source grating functionality incorporated therein are provided. An electron beam can be electromagnetically manipulated such that the X-ray source emits radiation in a pattern that is the same as if the radiation had already passed through a source grating.
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公开(公告)号：US20180068467A1
公开(公告)日：2018-03-08
申请号：US15558053
申请日：2016-03-21
Applicant: RENSSELAER POLYTECHNIC INSTITUTE
Inventor： Ge Wang , Mianyi Chen , Yan Xi , Wenxiang Cong
CPC classification number: G06T11/005 , A61B6/032 , A61B6/5205 , A61B6/582 , G06T11/006 , G06T2207/10116 , G06T2207/20 , G06T2211/412 , G06T2211/424
Abstract: Systems and methods for geometric calibration and image reconstruction in computed tomography (CT) scanning using iterative reconstruction algorithms are provided. An iterative reconstruction algorithm can be used to reconstruct an improved image, and then the improved image can be used to adjust inaccurate parameters by using a Locally Linear Embedding (LLE) method. Adjusted parameters can then be used to reconstruct new images, which can then be used to further adjust the parameters. The steps of this iterative process can be repeated until a quality threshold is met.
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Patent Agency Ranking
公开(公告)号：US11195310B2
公开(公告)日：2021-12-07
申请号：US16056111
申请日：2018-08-06
Applicant: General Electric Company
Inventor： Lin Fu , Sathish Ramani , Jie Tang , Bruno Kristiaan Bernard De Man , Jed Douglas Pack , Jiang Hsieh , Ge Wang
Abstract: The present disclosure relates to image reconstruction with favorable properties in terms of noise reduction, spatial resolution, detail preservation and computational complexity. The disclosed techniques may include some or all of: a first-pass reconstruction, a simplified datafit term, and/or a deep learning denoiser. In various implementations, the disclosed technique is portable to different CT platforms, such as by incorporating a first-pass reconstruction step.
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公开(公告)号：US20200043204A1
公开(公告)日：2020-02-06
申请号：US16056111
申请日：2018-08-06
Applicant: General Electric Company
Inventor： Lin Fu , Sathish Ramani , Jie Tang , Bruno Kristiaan Bernard De Man , Jed Douglas Pack , Jiang Hsieh , Ge Wang
Abstract: The present disclosure relates to image reconstruction with favorable properties in terms of noise reduction, spatial resolution, detail preservation and computational complexity. The disclosed techniques may include some or all of: a first-pass reconstruction, a simplified datafit term, and/or a deep learning denoiser. In various implementations, the disclosed technique is portable to different CT platforms, such as by incorporating a first-pass reconstruction step.
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88.发明授权Systems and methods for motion correction using magnetic resonance imaging information 有权使用磁共振成像信息进行运动校正的系统和方法公开(公告)号：US09466134B2
公开(公告)日：2016-10-11
申请号：US14574671
申请日：2014-12-18
Applicant: General Electric Company
Inventor： Peter Michael Edic , Ge Wang
CPC classification number: G06T11/005 , A61B5/0035 , A61B5/055 , A61B5/1128 , A61B6/032 , A61B6/4417 , A61B6/503 , A61B6/5205 , A61B6/5247 , A61B6/5264 , G01R33/4812 , G01R33/56333 , G06T7/0012 , G06T2207/10081 , G06T2207/10088 , G06T2207/30048 , G06T2211/412
Abstract: A method of generating an image in one embodiment includes acquiring, with a computed tomography (CT) acquisition unit, CT projection data from at least a region of interest (ROI), and concurrently acquiring, with a magnetic resonance (MR) acquisition unit, MR imaging information of at least a portion of the ROI. The method also includes determining a motion of the at least a portion of the ROI using the MR imaging information, and reconstructing the image using the CT projection data. Reconstructing the image includes motion correcting the CT projection data based on the motion determined using the MR imaging information.
Abstract translation: 在一个实施例中生成图像的方法包括使用计算机断层摄影（CT）获取单元从至少一个感兴趣区域（ROI）获取CT投影数据，并且同时采用磁共振（MR）获取单元， 至少一部分ROI的MR成像信息。 该方法还包括使用MR成像信息确定ROI的至少一部分的运动，以及使用CT投影数据重建图像。 重建图像包括基于使用MR成像信息确定的运动来校正CT投影数据。
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公开(公告)号：US20160117850A1
公开(公告)日：2016-04-28
申请号：US14920991
申请日：2015-10-23
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Yannan Jin , Bruno Kristiaan Bernard De Man , Ge Wang , Yan Xi
CPC classification number: A61B6/5258 , A61B6/03 , A61B6/482 , A61B6/5205 , G06T5/005 , G06T5/50 , G06T11/005 , G06T2207/10081 , G06T2207/10144 , G06T2207/20221 , G06T2207/30004 , G06T2211/408
Abstract: A method includes receiving, with at least one processor, a first projection dataset corresponding to X-rays at a first energy level projected towards a subject at a first set of view angles and receiving, with the at least one processor, a second projection dataset corresponding to X-rays at a second energy level projected towards the subject at a second set of view angles. The method further includes identifying, with the at least one processor, a metal trace from at least one of the first projection dataset and the second projection dataset. Moreover, the method includes converting, with the at least one processor, at least a portion of the first projection dataset to a pseudo dataset at the second energy level. The method also includes generating, with the at least one processor, a final image of the subject based on the second projection dataset, the pseudo dataset, and the metal trace.
Abstract translation: 一种方法包括：利用至少一个处理器，以在第一组视角投射到对象的第一能级对应于对应于X射线的第一投影数据集，并且与所述至少一个处理器接收第二投影数据集 对应于在第二组视角下朝向对象投射的第二能级的X射线。 该方法还包括用至少一个处理器识别来自第一投影数据集和第二投影数据集中的至少一个的金属迹线。 而且，该方法包括：利用至少一个处理器将第一投影数据集的至少一部分转换为第二能级的伪数据集。 该方法还包括基于第二投影数据集，伪数据集和金属迹线与至少一个处理器生成对象的最终图像。
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公开(公告)号：US09655580B2
公开(公告)日：2017-05-23
申请号：US14920991
申请日：2015-10-23
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Yannan Jin , Bruno Kristiaan Bernard De Man , Ge Wang , Yan Xi
CPC classification number: A61B6/5258 , A61B6/03 , A61B6/482 , A61B6/5205 , G06T5/005 , G06T5/50 , G06T11/005 , G06T2207/10081 , G06T2207/10144 , G06T2207/20221 , G06T2207/30004 , G06T2211/408
Abstract: A method includes receiving, with at least one processor, a first projection dataset corresponding to X-rays at a first energy level projected towards a subject at a first set of view angles and receiving, with the at least one processor, a second projection dataset corresponding to X-rays at a second energy level projected towards the subject at a second set of view angles. The method further includes identifying, with the at least one processor, a metal trace from at least one of the first projection dataset and the second projection dataset. Moreover, the method includes converting, with the at least one processor, at least a portion of the first projection dataset to a pseudo dataset at the second energy level. The method also includes generating, with the at least one processor, a final image of the subject based on the second projection dataset, the pseudo dataset, and the metal trace.
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