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公开(公告)号：US07940884B2
公开(公告)日：2011-05-10
申请号：US12729280
申请日：2010-03-23
IPC分类号： A61B6/00
CPC分类号： G06T11/006 , G06T2211/424
摘要： A method and an image reconstruction device are disclosed for reconstructing image data on the basis of input projection data obtained via an X-ray computerized tomography system. A target convolutional kernel is selected, which, when reconstructing image data from the input projection data using simple filtered back projection, would lead to target image characteristics. Image data is then reconstructed using an iterative reconstruction method of at least one embodiment. In at least one embodiment, the method includes a) reconstructing image data of a first iterative stage from the input projection data, b) generating synthetic projection data on the basis of the image data of the current iterative stage, c) forming difference projection data on the basis of the input projection data and the synthetic projection data, d) generating residue image data from the difference projection data, e) combining the residue image data with the image data of the current iterative stage to form image data of an additional iterative stage, wherein the image data of the current iterative stage is subjected to filtering before or during combination with the residue image data by using a regularization convolutional kernel which is determined on the basis of the selected target convolutional kernel, and f) repeating b) to e) until a termination condition occurs.
摘要翻译： 公开了一种基于通过X射线计算机断层摄影系统获得的输入投影数据来重构图像数据的方法和图像重建装置。 选择目标卷积核，当使用简单的过滤反投影从输入投影数据重建图像数据时，将导致目标图像特征。 然后使用至少一个实施例的迭代重建方法来重建图像数据。 在至少一个实施例中，该方法包括：a）从输入的投影数据重建第一迭代阶段的图像数据，b）基于当前迭代阶段的图像数据产生合成投影数据，c）形成差分投影数据 基于输入投影数据和合成投影数据，d）从差分投影数据生成残差图像数据，e）将残差图像数据与当前迭代阶段的图像数据组合以形成附加迭代图像数据 阶段，其中当前迭代阶段的图像数据在与剩余图像数据组合之前或之后通过使用基于所选择的目标卷积核确定的正则化卷积核进行滤波，以及f）重复b）至 e）直到发生终止条件。
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公开(公告)号：US20100246751A1
公开(公告)日：2010-09-30
申请号：US12729280
申请日：2010-03-23
IPC分类号： A61B6/03
CPC分类号： G06T11/006 , G06T2211/424
摘要： A method and an image reconstruction device are disclosed for reconstructing image data on the basis of input projection data obtained via an X-ray computerized tomography system. A target convolutional kernel is selected, which, when reconstructing image data from the input projection data using simple filtered back projection, would lead to target image characteristics. Image data is then reconstructed using an iterative reconstruction method of at least one embodiment. In at least one embodiment, the method includes a) reconstructing image data of a first iterative stage from the input projection data, b) generating synthetic projection data on the basis of the image data of the current iterative stage, c) forming difference projection data on the basis of the input projection data and the synthetic projection data, d) generating residue image data from the difference projection data, e) combining the residue image data with the image data of the current iterative stage to form image data of an additional iterative stage, wherein the image data of the current iterative stage is subjected to filtering before or during combination with the residue image data by using a regularization convolutional kernel which is determined on the basis of the selected target convolutional kernel, and f) repeating b) to e) until a termination condition occurs.
摘要翻译： 公开了一种基于通过X射线计算机断层摄影系统获得的输入投影数据来重构图像数据的方法和图像重建装置。 选择目标卷积核，当使用简单的过滤反投影从输入投影数据重建图像数据时，将导致目标图像特征。 然后使用至少一个实施例的迭代重建方法来重建图像数据。 在至少一个实施例中，该方法包括：a）从输入的投影数据重建第一迭代阶段的图像数据，b）基于当前迭代阶段的图像数据产生合成投影数据，c）形成差分投影数据 基于输入投影数据和合成投影数据，d）从差分投影数据生成残差图像数据，e）将残差图像数据与当前迭代阶段的图像数据组合以形成附加迭代图像数据 阶段，其中当前迭代阶段的图像数据在与剩余图像数据组合之前或之后通过使用基于所选择的目标卷积核确定的正则化卷积核进行滤波，以及f）重复b）至 e）直到发生终止条件。
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