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    • 34. 发明授权
    • System and method for simulataneous image artifact reduction and tomographic reconstruction
    • 用于模拟图像伪像减少和断层重建的系统和方法
    • US09384566B2
    • 2016-07-05
    • US13828103
    • 2013-03-14
    • Wisconsin Alumni Research Foundation
    • Guang-Hong Chen
    • G06K9/00G06T11/00
    • G06T11/003G06T11/006G06T2211/412G06T2211/424
    • Described here is a system and method for image reconstruction that can automatically and iteratively produce multiple images from one set of acquired data, in which each of these multiple images corresponds to a subset of the acquired data that is self-consistent, but inconsistent with other subsets of the acquired data. The image reconstruction includes iteratively minimizing the rank of an image matrix whose columns each correspond to a different image. The rank minimization is constrained subject to a consistency condition that enforces consistency between the forward projection of each column in the image matrix and a respective subset of the acquired data that contains data that is consistent with data in the subset, but inconsistent with data not in the subset.
    • 这里描述了一种用于图像重构的系统和方法,其可以从一组采集的数据自动和迭代地产生多个图像,其中这些多个图像中的每一个对应于所获取的数据的子集,其是自相矛盾的,但与其他的不一致 获取的数据的子集。 图像重建包括迭代地最小化其列各自对应于不同图像的图像矩阵的等级。 排序最小化受制于一致性条件,强制图像矩阵中每列的前向投影与包含与该子集中的数据一致的数据的所获取数据的相应子集之间的一致性一致,但与不在 子集。
    • 36. 发明授权
    • System and method for estimating a statistical noise map in x-ray imaging applications
    • 用于估计x射线成像应用中的统计噪声图的系统和方法
    • US09076237B2
    • 2015-07-07
    • US13796783
    • 2013-03-12
    • Wisconsin Alumni Research Foundation
    • Guang-Hong ChenJie Tang
    • G06T5/00G06T5/50A61B6/03A61B6/00
    • G06T5/50A61B6/032A61B6/508A61B6/5205A61B6/5258G06T5/002G06T11/005G06T2207/10081G06T2207/10112G06T2207/10116G06T2207/20216
    • Described here are a system and method for producing a statistical noise map that indicates the noise present in data acquired with an x-ray imaging system, such as an x-ray computed tomography system, an x-ray tomosynthesis system, a C-arm x-ray imaging system, and so on. In general, an image is reconstructed from the acquired data using, for example, any standard filtered back projection (“FBP”) image reconstruction algorithm. This image is used as a base line to estimate a noise standard distribution map. The raw projection data represents a typical measurement among many repeated measurements under the same experimental conditions; therefore, the measured projection data can be used to numerically generate an ensemble of many (e.g., twenty or more) noisy projection data sets. These noisy projection data sets are then used to reconstruct noisy images and from these noisy images and the original image, the statistical noise map can be computed.
    • 这里描述了一种用于产生统计噪声图的系统和方法,该统计噪声图指示了使用x射线成像系统(例如x射线计算机断层摄影系统,x射线断层合成系统,C臂)获得的数据中存在的噪声 x射线成像系统等。 一般来说,使用例如任何标准滤波反投影(“FBP”)图像重建算法从所获取的数据重建图像。 该图像用作基线以估计噪声标准分布图。 原始投影数据表示在相同实验条件下的许多重复测量中的典型测量; 因此,测量的投影数据可以用于数字地生成许多(例如,二十个或更多)噪声投影数据集合的集合。 然后,这些噪声投影数据集用于重建噪声图像,并且从这些噪声图像和原始图像中可以计算统计噪声图。
    • 37. 发明申请
    • SYSTEM AND METHOD FOR ESTIMATING A STATISTICAL NOISE MAP IN X-RAY IMAGING APPLICATIONS
    • 用于估计X射线成像应用中的统计噪声图的系统和方法
    • US20140270454A1
    • 2014-09-18
    • US13796783
    • 2013-03-12
    • WISCONSIN ALUMNI RESEARCH FOUNDATION
    • Guang-Hong ChenJie Tang
    • G06T7/00
    • G06T5/50A61B6/032A61B6/508A61B6/5205A61B6/5258G06T5/002G06T11/005G06T2207/10081G06T2207/10112G06T2207/10116G06T2207/20216
    • Described here are a system and method for producing a statistical noise map that indicates the noise present in data acquired with an x-ray imaging system, such as an x-ray computed tomography system, an x-ray tomosynthesis system, a C-arm x-ray imaging system, and so on. In general, an image is reconstructed from the acquired data using, for example, any standard filtered back projection (“FBP”) image reconstruction algorithm. This image is used as a base line to estimate a noise standard distribution map. The raw projection data represents a typical measurement among many repeated measurements under the same experimental conditions; therefore, the measured projection data can be used to numerically generate an ensemble of many (e.g., twenty or more) noisy projection data sets. These noisy projection data sets are then used to reconstruct noisy images and from these noisy images and the original image, the statistical noise map can be computed.
    • 这里描述了一种用于产生统计噪声图的系统和方法,该统计噪声图指示了使用x射线成像系统(例如x射线计算机断层摄影系统,x射线断层合成系统,C臂)获得的数据中存在的噪声 x射线成像系统等。 一般来说,使用例如任何标准滤波反投影(“FBP”)图像重建算法从所获取的数据重建图像。 该图像用作基线以估计噪声标准分布图。 原始投影数据表示在相同实验条件下的许多重复测量中的典型测量; 因此,测量的投影数据可以用于数字地生成许多(例如,二十个或更多)噪声投影数据集合的集合。 然后,这些噪声投影数据集用于重建噪声图像,并且从这些噪声图像和原始图像中可以计算统计噪声图。
    • 38. 发明申请
    • SYSTEM AND METHOD FOR SIMULATANEOUS IMAGE ARTIFACT REDUCTION AND TOMOGRAPHIC RECONSTRUCTION
    • 用于模拟图像减少和图像重建的系统和方法
    • US20140270439A1
    • 2014-09-18
    • US13828103
    • 2013-03-14
    • WISCONSIN ALUMNI RESEARCH FOUNDATION
    • Guang-Hong Chen
    • G06T11/00
    • G06T11/003G06T11/006G06T2211/412G06T2211/424
    • Described here is a system and method for image reconstruction that can automatically and iteratively produce multiple images from one set of acquired data, in which each of these multiple images corresponds to a subset of the acquired data that is self-consistent, but inconsistent with other subsets of the acquired data. The image reconstruction includes iteratively minimizing the rank of an image matrix whose columns each correspond to a different image. The rank minimization is constrained subject to a consistency condition that enforces consistency between the forward projection of each column in the image matrix and a respective subset of the acquired data that contains data that is consistent with data in the subset, but inconsistent with data not in the subset.
    • 这里描述了一种用于图像重构的系统和方法,其可以从一组采集的数据自动和迭代地产生多个图像,其中这些多个图像中的每一个对应于所获取的数据的子集,其是自相矛盾的,但与其他的不一致 获取的数据的子集。 图像重建包括迭代地最小化其列各自对应于不同图像的图像矩阵的等级。 排序最小化受制于一致性条件,强制图像矩阵中每列的前向投影与包含与该子集中的数据一致的数据的所获取数据的相应子集之间的一致性一致,但与不在 子集。