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公开(公告)号：US20160134852A1
公开(公告)日：2016-05-12
申请号：US14535017
申请日：2014-11-06
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Hewei Gao , Girijesh Kumar Yadava , Adam Israel Cohen , Yannan Jin
CPC classification number: H04N9/3185 , G06T5/001 , G06T11/005 , G06T11/008 , G06T2211/408
Abstract: A method includes acquiring projection data of an object from a plurality of detector elements, reconstructing the acquired projection data into a first reconstructed image, and performing material characterization of an image volume of the first reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. Performing material characterization includes utilizing a generalized modeling function to estimate a fraction of at least one basis material within each voxel of the image volume. The method also includes generating a re-mapped image volume for the at least one basis material of the two basis materials, performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection, and generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials.
Abstract translation: 一种方法包括从多个检测器元件获取物体的投影数据，将所获取的投影数据重建为第一重建图像，以及执行第一重建图像的图像体积的材料表征以减少图像中分析的材料数量 体积到两种基础材料。 执行材料表征包括利用广义建模功能来估计图像体积的每个体素内的至少一种基础材料的分数。 该方法还包括为两个基础材料的至少一个基础材料生成重新映射的图像体积，在至少一个基础材料的至少一个重新映射的图像体积上执行向前投影以产生基于材料的投影 并且基于基于材料的投影和由对象衰减的总投影来生成表示两种基础材料的多材料校正投影。
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公开(公告)号：US08811709B2
公开(公告)日：2014-08-19
申请号：US13677010
申请日：2012-11-14
Applicant: General Electric Company
Inventor： Xiaoye Wu , Jiang Hsieh , Paavana Sainath , Dan Xu , Yannan Jim , Girijesh Kumar Yadava , Adam Israel Cohen , Hewei Gao
CPC classification number: A61B6/03 , G06T7/0012 , G06T11/008 , G06T2211/408
Abstract: A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.
Abstract translation: 提供了一种方法。 该方法包括从多个像素获取对象的投影数据，将所获取的投影数据从多个像素重建成重建图像，对重建图像执行材料表征和分解，以减少分析的材料数量 在图像体积为两个基础材料。 所述方法还包括为所述两种基础材料的至少一种基础材料生成重新映射的图像体积，以及针对所述至少一种基础材料至少对所述重新映射的图像体积执行向前投影以产生基于材料的投影 。 该方法还包括基于基于材料的投影和由对象衰减的总投影来生成多材料校正投影，其表示两种基础材料，其中多材料校正投影包括线性化投影。
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公开(公告)号：US10507005B2
公开(公告)日：2019-12-17
申请号：US15273043
申请日：2016-09-22
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Yannan Jin , Geng Fu , Peter M. Edic , Hewei Gao
Abstract: There is set forth herein a method including performing with an X-ray detector array of a CT imaging system one or more calibration scans, wherein the one or more calibration scans include obtaining for each element of the first through Nth elements of the X-ray detector array one or more calibration measurements; and updating a spectral response model for each element of the first through Nth elements using the one or more calibration measurements. In another aspect, a CT imaging system can perform imaging, e.g. including material decomposition (MD) imaging, using updated spectral response models for elements of an X-ray detector array. The spectral response models can be updated using a calibration process so that different elements of an X-ray detector array have different spectral response models.
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公开(公告)号：US09943279B2
公开(公告)日：2018-04-17
申请号：US14520204
申请日：2014-10-21
Applicant: General Electric Company
Inventor： Jiahua Fan , Jie Tang , Hewei Gao
CPC classification number: A61B6/482 , A61B6/032 , A61B6/037 , A61B6/5235 , A61B6/5258 , G06T11/008 , G06T2211/408
Abstract: Various methods and systems for weighting material density images based on the material imaged are disclosed. In one embodiment, a method for dual energy imaging of a material comprises generating an odd material density image, generating an even material density image, applying a first weight to the odd material density image and a second weight to the even material density image, and generating a material density image based on a combination of the weighted odd material density image and the weighted even material density image. In this way, the image quality may be improved without increasing a radiation dosage.
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公开(公告)号：US09585626B2
公开(公告)日：2017-03-07
申请号：US14567828
申请日：2014-12-11
Applicant: General Electric Company
Inventor： Hewei Gao , Tonghe Wang , Jiahua Fan , Guangzhi Cao
CPC classification number: A61B6/482 , A61B6/032 , A61B6/52 , G06T11/005 , G06T11/006 , G06T2211/408
Abstract: Various methods and systems for dual energy spectral computed tomography imaging are provided. In one embodiment, a method for dual energy imaging comprises generating an image from a higher energy dataset and an updated lower energy dataset, wherein the updated lower energy dataset comprises a combination of a lower energy dataset and a pseudo projection dataset generated from the higher energy dataset. In this way, a weak low energy signal may be recovered, thereby enabling image reconstruction in spite of photon starvation and sparse views.
Abstract translation: 提供了用于双能谱计算机断层摄影成像的各种方法和系统。 在一个实施例中，用于双能量成像的方法包括从较高能量数据集和更新的较低能量数据集生成图像，其中更新的较低能量数据集包括较低能量数据集和从更高能量产生的伪投影数据集的组合 数据集 以这种方式，可以恢复弱的低能量信号，从而使得尽管存在光子饥饿和稀疏视图的图像重建。
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Patent Agency Ranking
6.发明申请METHODS AND SYSTEMS FOR TASK-BASED DATA GENERATION AND WEIGHTING FOR CT SPECTRAL IMAGING 有权用于CT谱成像的基于任务数据生成和加权的方法和系统公开(公告)号：US20160106386A1
公开(公告)日：2016-04-21
申请号：US14520204
申请日：2014-10-21
Applicant: General Electric Company
Inventor： Jiahua Fan , Jie Tang , Hewei Gao
CPC classification number: A61B6/482 , A61B6/032 , A61B6/037 , A61B6/5235 , A61B6/5258 , G06T11/008 , G06T2211/408
Abstract: Various methods and systems for weighting material density images based on the material imaged are disclosed. In one embodiment, a method for dual energy imaging of a material comprises generating an odd material density image, generating an even material density image, applying a first weight to the odd material density image and a second weight to the even material density image, and generating a material density image based on a combination of the weighted odd material density image and the weighted even material density image. In this way, the image quality may be improved without increasing a radiation dosage.
Abstract translation: 公开了用于基于成像材料对材料密度图像进行加权的各种方法和系统。 在一个实施例中，用于材料的双能量成像的方法包括产生奇数材料密度图像，产生均匀材料密度图像，将第一重量施加到奇数材料密度图像，第二重量施加到均匀材料密度图像，以及 基于加权奇数材料密度图像和加权均匀物质密度图像的组合产生材料密度图像。 以这种方式，可以在不增加辐射剂量的情况下改善图像质量。
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公开(公告)号：US20160166221A1
公开(公告)日：2016-06-16
申请号：US14567828
申请日：2014-12-11
Applicant: General Electric Company
Inventor： Hewei Gao , Tonghe Wang , Jiahua Fan , Guangzhi Cao
CPC classification number: A61B6/482 , A61B6/032 , A61B6/52 , G06T11/005 , G06T11/006 , G06T2211/408
Abstract: Various methods and systems for dual energy spectral computed tomography imaging are provided. In one embodiment, a method for dual energy imaging comprises generating an image from a higher energy dataset and an updated lower energy dataset, wherein the updated lower energy dataset comprises a combination of a lower energy dataset and a pseudo projection dataset generated from the higher energy dataset. In this way, a weak low energy signal may be recovered, thereby enabling image reconstruction in spite of photon starvation and sparse views.
Abstract translation: 提供了用于双能谱计算机断层摄影成像的各种方法和系统。 在一个实施例中，用于双能量成像的方法包括从较高能量数据集和更新的较低能量数据集生成图像，其中更新的较低能量数据集包括较低能量数据集和从更高能量产生的伪投影数据集的组合 数据集 以这种方式，可以恢复弱的低能量信号，从而使得尽管存在光子饥饿和稀疏视图的图像重建。
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公开(公告)号：US09025815B2
公开(公告)日：2015-05-05
申请号：US14332020
申请日：2014-07-15
Applicant: General Electric Company
Inventor： Xiaoye Wu , Jiang Hsieh , Paavana Sainath , Dan Xu , Yannan Jin , Girijesh Kumar Yadava , Adam Israel Cohen , Hewei Gao
CPC classification number: A61B6/03 , G06T7/0012 , G06T11/008 , G06T2211/408
Abstract: A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.
Abstract translation: 提供了一种方法。 该方法包括从多个像素获取对象的投影数据，将所获取的投影数据从多个像素重建成重建图像，对重建图像执行材料表征和分解，以减少分析的材料数量 在图像体积为两个基础材料。 所述方法还包括为所述两种基础材料的至少一种基础材料生成重新映射的图像体积，以及针对所述至少一种基础材料至少对所述重新映射的图像体积执行向前投影以产生基于材料的投影 。 该方法还包括基于基于材料的投影和由对象衰减的总投影来生成多材料校正投影，其表示两种基础材料，其中多材料校正投影包括线性化投影。
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公开(公告)号：US20140133719A1
公开(公告)日：2014-05-15
申请号：US13677010
申请日：2012-11-14
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Xiaoye Wu , Jiang Hsieh , Paavana Sainath , Dan Xu , Yannan Jin , Girijesh Kumar Yadava , Adam Israel Cohen , Hewei Gao
IPC: G06T7/00
CPC classification number: A61B6/03 , G06T7/0012 , G06T11/008 , G06T2211/408
Abstract: A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.
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公开(公告)号：US09683948B2
公开(公告)日：2017-06-20
申请号：US14070252
申请日：2013-11-01
Applicant: General Electric Company
Inventor： Hewei Gao , Girijesh K. Yadava , Adam Israel Cohen , Brian Edward Nett
CPC classification number: G01N23/046 , A61B6/032 , A61B6/482 , A61B6/5211 , A61B6/5258 , A61B6/583 , A61B8/0875 , G01N2223/42 , G06T11/005
Abstract: Systems and methods for iterative multi-material correction are provided. A system includes an imager that acquires projection data of an object. A reconstructor reconstructs the acquired projection data into a reconstructed image, utilizes the reconstructed image to perform a multi-material correction on the acquired projection data to generate a multi-material corrected reconstructed image, and utilizes the multi-material corrected reconstructed image to perform one or more iterations of the multi-material correction on the projection data to generate an iteratively corrected multi-material corrected image.
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