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公开(公告)号：US09953397B2
公开(公告)日：2018-04-24
申请号：US14478597
申请日：2014-09-05
Applicant: General Electric Company
Inventor： Ek Tsoon Tan , Xiaofeng Liu , Dan Xu
CPC classification number: G06T3/00 , A61B5/055 , G06T5/006 , G06T7/32 , G06T2207/10088
Abstract: A method implemented using at least one processor includes receiving a target image and a reference image. The target image is a distorted magnetic resonance image and the reference image is an undistorted magnetic resonance image. The method further includes selecting an image registration method for registering the target image to the reference image, wherein the image registration method uses an image transformation. The method further includes performing image registration of the target image with the reference image, wherein the image registration provides a plurality of optimized parameters of the image transformation. The method also includes generating a corrected image based on the target image and the plurality of optimized parameters of the image transformation.
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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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Patent Agency Ranking
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：US20160071269A1
公开(公告)日：2016-03-10
申请号：US14478597
申请日：2014-09-05
Applicant: General Electric Company
Inventor： Ek Tsoon Tan , Xiaofeng Liu , Dan Xu
CPC classification number: G06T3/00 , A61B5/055 , G06T5/006 , G06T7/32 , G06T2207/10088
Abstract: A method implemented using at least one processor includes receiving a target image and a reference image. The target image is a distorted magnetic resonance image and the reference image is an undistorted magnetic resonance image. The method further includes selecting an image registration method for registering the target image to the reference image, wherein the image registration method uses an image transformation. The method further includes performing image registration of the target image with the reference image, wherein the image registration provides a plurality of optimized parameters of the image transformation. The method also includes generating a corrected image based on the target image and the plurality of optimized parameters of the image transformation.
Abstract translation: 使用至少一个处理器实现的方法包括接收目标图像和参考图像。 目标图像是失真的磁共振图像，参考图像是未失真的磁共振图像。 该方法还包括选择用于将目标图像登记到参考图像的图像配准方法，其中图像配准方法使用图像变换。 该方法还包括用参考图像执行目标图像的图像配准，其中图像配准提供图像变换的多个优化参数。 该方法还包括基于目标图像和图像变换的多个优化参数生成校正图像。
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公开(公告)号：US08885910B2
公开(公告)日：2014-11-11
申请号：US13730349
申请日：2012-12-28
Applicant: General Electric Company
Inventor： Peter Michael Edic , Colin Richard Wilson , Jeffery Wayne Eberhard , Dan Xu
CPC classification number: G06T11/003 , G06T11/005 , G06T2211/408
Abstract: An energy-sensitive system includes one or more processors configured to determine spectral attenuation curves for a first basis material and a second basis material, respectively. The one or more processors are configured to substitute a k-edge feature in the determined spectral attenuation curves with an approximation of the determined spectral attenuation curves lacking the k-edge feature. The one or more processors are also configured to construct a material decomposition model based on one of the determined or approximated first and second spectral attenuation curves. The one or more processors are additionally configured to decompose X-ray projection data into basis material projection data comprising first and second line integrals based, at least in part, on the model.
Abstract translation: 能量敏感系统包括一个或多个处理器，其被配置为分别确定第一基础材料和第二基础材料的光谱衰减曲线。 一个或多个处理器被配置为用确定的光谱衰减曲线中的k边缘特征代替所确定的缺少k边缘特征的光谱衰减曲线。 一个或多个处理器还被配置为基于确定的或近似的第一和第二光谱衰减曲线之一来构建材料分解模型。 一个或多个处理器还被配置为至少部分地基于模型将X射线投影数据分解成包括第一和第二线积分的基础材料投影数据。
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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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公开(公告)号：US20140185901A1
公开(公告)日：2014-07-03
申请号：US13730349
申请日：2012-12-28
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Peter Michael Edic , Colin Richard Wilson , Jeffery Wayne Eberhard , Dan Xu
CPC classification number: G06T11/003 , G06T11/005 , G06T2211/408
Abstract: An energy-sensitive system includes one or more processors configured to determine spectral attenuation curves for a first basis material and a second basis material, respectively. The one or more processors are configured to substitute a k-edge feature in the determined spectral attenuation curves with an approximation of the determined spectral attenuation curves lacking the k-edge feature. The one or more processors are also configured to construct a material decomposition model based on one of the determined or approximated first and second spectral attenuation curves. The one or more processors are additionally configured to decompose X-ray projection data into basis material projection data comprising first and second line integrals based, at least in part, on the model.
Abstract translation: 能量敏感系统包括一个或多个处理器，其被配置为分别确定第一基础材料和第二基础材料的光谱衰减曲线。 一个或多个处理器被配置为用确定的光谱衰减曲线中的k边缘特征代替所确定的缺少k边缘特征的光谱衰减曲线。 一个或多个处理器还被配置为基于确定的或近似的第一和第二光谱衰减曲线之一来构建材料分解模型。 一个或多个处理器还被配置为至少部分地基于模型将X射线投影数据分解成包括第一和第二线积分的基础材料投影数据。
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