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公开(公告)号：US20140328448A1
公开(公告)日：2014-11-06
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
IPC: A61B6/03
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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Patent Agency Ranking
公开(公告)号：US09374565B2
公开(公告)日：2016-06-21
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：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：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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