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公开(公告)号：US09508163B2
公开(公告)日：2016-11-29
申请号：US13918517
申请日：2013-06-14
Inventor： Zhou Yu , Bruno Kristiaan Bernard De Man , Jean-Baptiste Thibault , Debashish Pal , Lin Fu , Charles A. Bouman , Jeffrey Allen Fessler , Hung Nien
CPC classification number: G06T11/006 , G06T2211/424 , G06T2211/428
Abstract: A framework for an iterative reconstruction algorithm is described which combines two or more of an ordered subset method, a preconditioner method, and a nested loop method. In one type of implementation a nested loop (NL) structure is employed where the inner loop sub-problems are solved using ordered subset (OS) methods. The inner loop may be solved using OS and a preconditioner method. In other implementations, the inner loop problems are created by augmented Lagrangian methods and then solved using OS method.
Abstract translation: 描述了一种迭代重建算法的框架，其结合有序子集方法，预处理器方法和嵌套循环方法中的两个或更多个。 在一种类型的实现中，使用嵌套循环（NL）结构，其中使用有序子集（OS）方法来解决内循环子问题。 可以使用OS和预处理器方法来解决内循环。 在其他实现中，内循环问题是通过增强拉格朗日方法产生的，然后使用OS方法求解。
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12.发明授权公开(公告)号：US09261467B2
公开(公告)日：2016-02-16
申请号：US13918215
申请日：2013-06-14
Inventor： Jean-Baptiste Thibault , Xue Rui , Somesh Srivastava , Ken David Sauer , Lin Fu , Charles Addison Bouman, Jr.
CPC classification number: G01N23/046 , A61B6/032 , A61B6/5205 , G01N2223/1016 , G01N2223/419 , G06T11/006 , G06T2211/424
Abstract: A system and method include acquisition of projection data from a scanned object, the set of projection data comprising a plurality of projection measurements. The system and method also include calculation of a set of modified statistical weights from the projection data, wherein a respective modified statistical weight of the set of modified statistical weights comprises a deviation from an inverse variance of a corresponding projection measurement of the projection data. The system and method further include reconstruction of an image of the scanned object using the set of modified statistical weights as coefficients in an iterative reconstruction algorithm.
Abstract translation: 一种系统和方法包括从扫描对象获取投影数据，该组投影数据包括多个投影测量。 该系统和方法还包括从投影数据计算一组经修改的统计权重，其中修改的统计权重集合的相应修改的统计权重包括与投影数据的相应投影测量的逆方差的偏差。 该系统和方法还包括使用经修改的统计权重的集合来重建扫描对象的图像作为迭代重建算法中的系数。
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公开(公告)号：US09489752B2
公开(公告)日：2016-11-08
申请号：US14045816
申请日：2013-10-04
Inventor： Donghwan Kim , Sathish Ramani , Jeffrey A. Fessler , Lin Fu , Bruno Kristiaan Bernard De Man
CPC classification number: G06T11/006 , G06T2211/424
Abstract: Methods, systems, and non-transitory computer readable media for image reconstruction are presented. Measured data corresponding to a subject is received. A preliminary image update in a particular iteration is determined based on one or more image variables computed using at least a subset of the measured data in the particular iteration. Additionally, at least one momentum term is determined based on the one or more image variables computed in the particular iteration and/or one or more further image variables computed in one or more iterations preceding the particular iteration. Further, a subsequent image update is determined using the preliminary image update and the momentum term. The preliminary image update and/or the subsequent image update are iteratively computed for a plurality of iterations until one or more termination criteria are satisfied.
Abstract translation: 提出了用于图像重建的方法，系统和非暂时性计算机可读介质。 接收与被摄体对应的测量数据。 基于在特定迭代中使用至少一个测量数据的子集计算的一个或多个图像变量来确定特定迭代中的初步图像更新。 另外，基于在特定迭代中计算的一个或多个图像变量和/或在特定迭代之前的一个或多个迭代中计算的一个或多个另外的图像变量来确定至少一个动量项。 此外，使用初步图像更新和动量项来确定随后的图像更新。 对多个迭代迭代地计算初步图像更新和/或后续图像更新，直到满足一个或多个终止标准。
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公开(公告)号：US20160210762A1
公开(公告)日：2016-07-21
申请号：US14597896
申请日：2015-01-15
Applicant: General Electric Company
Inventor： Lin Fu , Bruno Kristiaan Bernard DeMan , Jed Douglas Pack
IPC: G06T11/00
CPC classification number: G06T11/006 , G06T2211/421 , G06T2211/424 , G06T2211/432
Abstract: The present approaches relate to frequency-split iterative reconstruction approaches. In some embodiment, such approaches provide for the combination of the low frequency components of an analytical reconstruction (e.g., a filtered back projection) and the high frequency components of an iterative reconstruction. In certain embodiments, frequency-split iterative reconstruction is used for generating region of interest images.
Abstract translation: 目前的方法涉及频率分割迭代重建方法。 在一些实施例中，这种方法提供了分析重构（例如，滤波反投影）的低频分量与迭代重建的高频分量的组合。 在某些实施例中，使用频率分割迭代重构来产生感兴趣区域图像。
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公开(公告)号：US20140369581A1
公开(公告)日：2014-12-18
申请号：US13918656
申请日：2013-06-14
Inventor： Lin Fu , Madison Gray McGaffin , Zhou Yu , Jean-Baptiste Thibault , Sathish Ramani , Jeffrey Allen Fessler , Bruno Kristiaan Bernard De Man , Debashish Pal
IPC: G06T11/00
CPC classification number: G06T11/006 , G06T2211/424
Abstract: The use of the channelized preconditioners in iterative reconstruction is disclosed. In certain embodiments, different channels correspond to different frequency sub-bands and the output of the different channels can be combined to update an image estimate used in the iterative reconstruction process. While individual channels may be relatively simple, the combined channels can represent complex spatial variant operations. The use of channelized preconditioners allows empirical adjustment of individual channels.
Abstract translation: 公开了在迭代重建中使用信道化预处理器。 在某些实施例中，不同的信道对应于不同的频率子带，并且可以组合不同信道的输出以更新在迭代重建过程中使用的图像估计。 虽然单个通道可能相对简单，但组合通道可以表示复杂的空间变体操作。 通道化预处理器的使用允许对各个通道进行实证调整。
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Patent Agency Ranking
公开(公告)号：US20140369580A1
公开(公告)日：2014-12-18
申请号：US13918517
申请日：2013-06-14
Inventor： Zhou Yu , Bruno Kristiaan Bernard De Man , Jean-Baptiste Thibault , Debashish Pal , Lin Fu , Charles A. Bouman , Jeffrey Allen Fessler , Hung Nien
IPC: G06T11/00
CPC classification number: G06T11/006 , G06T2211/424 , G06T2211/428
Abstract: A framework for an iterative reconstruction algorithm is described which combines two or more of an ordered subset method, a preconditioner method, and a nested loop method. In one type of implementation a nested loop (NL) structure is employed where the inner loop sub-problems are solved using ordered subset (OS) methods. The inner loop may be solved using OS and a preconditioner method. In other implementations, the inner loop problems are created by augmented Lagrangian methods and then solved using OS method.
Abstract translation: 描述了一种迭代重建算法的框架，其结合有序子集方法，预处理器方法和嵌套循环方法中的两个或更多个。 在一种类型的实现中，使用嵌套循环（NL）结构，其中使用有序子集（OS）方法来解决内循环子问题。 可以使用OS和预处理器方法来解决内循环。 在其他实现中，内循环问题是通过增强拉格朗日方法产生的，然后使用OS方法求解。
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17.发明申请公开(公告)号：US20140369463A1
公开(公告)日：2014-12-18
申请号：US13918215
申请日：2013-06-14
Inventor： Jean-Baptiste Thibault , Xue Rui , Somesh Srivastava , Ken David Sauer , Lin Fu , Charles Addison Bouman, JR.
CPC classification number: G01N23/046 , A61B6/032 , A61B6/5205 , G01N2223/1016 , G01N2223/419 , G06T11/006 , G06T2211/424
Abstract: A system and method include acquisition of projection data from a scanned object, the set of projection data comprising a plurality of projection measurements. The system and method also include calculation of a set of modified statistical weights from the projection data, wherein a respective modified statistical weight of the set of modified statistical weights comprises a deviation from an inverse variance of a corresponding projection measurement of the projection data. The system and method further include reconstruction of an image of the scanned object using the set of modified statistical weights as coefficients in an iterative reconstruction algorithm.
Abstract translation: 一种系统和方法包括从扫描对象获取投影数据，该组投影数据包括多个投影测量。 该系统和方法还包括从投影数据计算一组经修改的统计权重，其中修改的统计权重集合的相应修改的统计权重包括与投影数据的相应投影测量的逆方差的偏差。 该系统和方法还包括使用经修改的统计权重的集合来重建扫描对象的图像作为迭代重建算法中的系数。
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公开(公告)号：US11195310B2
公开(公告)日：2021-12-07
申请号：US16056111
申请日：2018-08-06
Applicant: General Electric Company
Inventor： Lin Fu , Sathish Ramani , Jie Tang , Bruno Kristiaan Bernard De Man , Jed Douglas Pack , Jiang Hsieh , Ge Wang
Abstract: The present disclosure relates to image reconstruction with favorable properties in terms of noise reduction, spatial resolution, detail preservation and computational complexity. The disclosed techniques may include some or all of: a first-pass reconstruction, a simplified datafit term, and/or a deep learning denoiser. In various implementations, the disclosed technique is portable to different CT platforms, such as by incorporating a first-pass reconstruction step.
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公开(公告)号：US10475214B2
公开(公告)日：2019-11-12
申请号：US15480172
申请日：2017-04-05
Applicant: General Electric Company
Inventor： Lin Fu , Sathish Ramani , Bruno Kristiaan Bernard De Man , Xue Rui , Sangtae Ahn
Abstract: The present approach relates to the use of machine learning and deep learning systems suitable for solving large-scale, space-variant tomographic reconstruction and/or correction problems. In certain embodiments, a tomographic transform of measured data obtained from a tomography scanner is used as an input to a neural network. In accordance with certain aspects of the present approach, the tomographic transform operation(s) is performed separate from or outside the neural network such that the result of the tomographic transform operation is instead provided as an input to the neural network. In addition, in certain embodiments, one or more layers of the neural network may be provided as wavelet filter banks.
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公开(公告)号：US20180293762A1
公开(公告)日：2018-10-11
申请号：US15480172
申请日：2017-04-05
Applicant: General Electric Company
Inventor： Lin Fu , Sathish Ramani , Bruno Kristiaan Bernard De Man , Xue Rui , Sangtae Ahn
CPC classification number: G06T11/003 , G06K9/66 , G06T11/006 , G06T2210/41 , G06T2211/416
Abstract: The present approach relates to the use of machine learning and deep learning systems suitable for solving large-scale, space-variant tomographic reconstruction and/or correction problems. In certain embodiments, a tomographic transform of measured data obtained from a tomography scanner is used as an input to a neural network. In accordance with certain aspects of the present approach, the tomographic transform operation(s) is performed separate from or outside the neural network such that the result of the tomographic transform operation is instead provided as an input to the neural network. In addition, in certain embodiments, one or more layers of the neural network may be provided as wavelet filter banks.
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