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1.发明申请METHOD AND APPARATUS OF MULTI-COIL MR IMAGING WITH HYBRID SPACE CALIBRATION 有权多层次磁共振成像与混合空间校准的方法与装置公开(公告)号：US20090134872A1
公开(公告)日：2009-05-28
申请号：US12363346
申请日：2009-01-30
IPC分类号： G01R33/48
CPC分类号： G01R33/5611
摘要： The present invention provides a system and method for parallel imaging that performs auto-calibrating reconstructions with a 2D (for 2D imaging) or 3D kernel (for 3D imaging) that exploits the computational efficiencies available when operating in certain data “domains” or “spaces”. The reconstruction process of multi-coil data is separated into a “training phase” and an “application phase” in which reconstruction weights are applied to acquired data to synthesize (replace) missing data. The choice of data space, i.e., k-space, hybrid space, or image space, in which each step occurs is independently optimized to reduce total reconstruction time for a given imaging application. As such, the invention retains the image quality benefits of using a 2D k-space kernel without the computational burden of applying a 2D k-space convolution kernel.
摘要翻译： 本发明提供了一种用于并行成像的系统和方法，其使用2D（用于2D成像）或3D内核（用于3D成像）执行自动校准重建，其利用在某些数据“域”或“空间”中操作时可用的计算效率 “。 多线圈数据的重构过程分为“训练阶段”和“应用阶段”，其中重建权重应用于获取的数据以合成（替换）丢失的数据。 每个步骤发生的数据空间的选择，即k空间，混合空间或图像空间被独立地优化以减少给定成像应用的总重构时间。 因此，本发明保留了使用2D k空间内核的图像质量优点，而没有应用2D k空间卷积内核的计算负担。
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2.发明授权公开(公告)号：US07282917B1
公开(公告)日：2007-10-16
申请号：US11278039
申请日：2006-03-30
IPC分类号： G01V3/00
CPC分类号： G01R33/5611
摘要： The present invention provides a system and method for parallel imaging that performs auto-calibrating reconstructions with a 2D (for 2D imaging) or 3D kernel (for 3D imaging) that exploits the computational efficiencies available when operating in certain data “domains” or “spaces”. The reconstruction process of multi-coil data is separated into a “training phase” and an “application phase” in which reconstruction weights are applied to acquired data to synthesize (replace) missing data. The choice of data space, i.e., k-space, hybrid space, or image space, in which each step occurs is independently optimized to reduce total reconstruction time for a given imaging application. As such, the invention retains the image quality benefits of using a 2D k-space kernel without the computational burden of applying a 2D k-space convolution kernel.
摘要翻译： 本发明提供了一种用于并行成像的系统和方法，其使用2D（用于2D成像）或3D内核（用于3D成像）执行自动校准重建，其利用在某些数据“域”或“空间”中操作时可用的计算效率 “。 多线圈数据的重构过程分为“训练阶段”和“应用阶段”，其中重建权重应用于获取的数据以合成（替换）缺失数据。 每个步骤发生的数据空间的选择，即k空间，混合空间或图像空间被独立地优化以减少给定成像应用的总重构时间。 因此，本发明保留了使用2D k空间内核的图像质量优点，而没有应用2D k空间卷积内核的计算负担。
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3.发明授权公开(公告)号：US07692425B2
公开(公告)日：2010-04-06
申请号：US12363346
申请日：2009-01-30
IPC分类号： G01V3/00
CPC分类号： G01R33/5611
摘要： The present invention provides a system and method for parallel imaging that performs auto-calibrating reconstructions with a 2D (for 2D imaging) or 3D kernel (for 3D imaging) that exploits the computational efficiencies available when operating in certain data “domains” or “spaces”. The reconstruction process of multi-coil data is separated into a “training phase” and an “application phase” in which reconstruction weights are applied to acquired data to synthesize (replace) missing data. The choice of data space, i.e., k-space, hybrid space, or image space, in which each step occurs is independently optimized to reduce total reconstruction time for a given imaging application. As such, the invention retains the image quality benefits of using a 2D k-space kernel without the computational burden of applying a 2D k-space convolution kernel.
摘要翻译： 本发明提供了一种用于并行成像的系统和方法，其使用2D（用于2D成像）或3D内核（用于3D成像）执行自动校准重建，其利用在某些数据“域”或“空间”中操作时可用的计算效率 “。 多线圈数据的重构过程分为“训练阶段”和“应用阶段”，其中重建权重应用于获取的数据以合成（替换）丢失的数据。 每个步骤发生的数据空间的选择，即k空间，混合空间或图像空间被独立地优化以减少给定成像应用的总重构时间。 因此，本发明保留了使用2D k空间内核的图像质量优点，而没有应用2D k空间卷积内核的计算负担。
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4.发明授权公开(公告)号：US07486075B2
公开(公告)日：2009-02-03
申请号：US11867186
申请日：2007-10-04
IPC分类号： G01V3/00
CPC分类号： G01R33/5611
摘要： The present invention provides a system and method for parallel imaging that performs auto-calibrating reconstructions with a 2D (for 2D imaging) or 3D kernel (for 3D imaging) that exploits the computational efficiencies available when operating in certain data “domains” or “spaces”. The reconstruction process of multi-coil data is separated into a “training phase” and an “application phase” in which reconstruction weights are applied to acquired data to synthesize (replace) missing data. The choice of data space, i.e., k-space, hybrid space, or image space, in which each step occurs is independently optimized to reduce total reconstruction time for a given imaging application. As such, the invention retains the image quality benefits of using a 2D k-space kernel without the computational burden of applying a 2D k-space convolution kernel.
摘要翻译： 本发明提供了一种用于并行成像的系统和方法，其使用2D（用于2D成像）或3D内核（用于3D成像）执行自动校准重建，其利用在某些数据“域”或“空间”中操作时可用的计算效率 “。 多线圈数据的重构过程分为“训练阶段”和“应用阶段”，其中重建权重应用于获取的数据以合成（替换）丢失的数据。 每个步骤发生的数据空间的选择，即k空间，混合空间或图像空间被独立地优化以减少给定成像应用的总重构时间。 因此，本发明保留了使用2D k空间内核的图像质量优点，而没有应用2D k空间卷积内核的计算负担。
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5.发明申请公开(公告)号：US20100244825A1
公开(公告)日：2010-09-30
申请号：US12415948
申请日：2009-03-31
CPC分类号： G01R33/5611
摘要： A method for generating a magnetic resonance (MR) image includes acquiring calibration data from each of a plurality of RF source coils. Calibration data for a virtual coil is generated based on the calibration data from the plurality of RF source coils and a set of synthesis weights is generated based on the calibration data from the plurality of RF source coils and the calibration data for the virtual coil. Accelerated MR data is acquired from each of the plurality of RF source coils. An image can be reconstructed based on an application of the set of synthesis weights to the accelerated MR data from the plurality of RF source coils.
摘要翻译： 用于产生磁共振（MR）图像的方法包括从多个RF源线圈中的每一个获取校准数据。 基于来自多个RF源线圈的校准数据生成虚拟线圈的校准数据，并且基于来自多个RF源线圈的校准数据和虚拟线圈的校准数据生成一组合成权重。 从多个RF源线圈中的每一个获取加速MR数据。 可以基于对来自多个RF源线圈的加速MR数据的合成权重集合的应用来重构图像。
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6.发明申请公开(公告)号：US20080297152A1
公开(公告)日：2008-12-04
申请号：US11757571
申请日：2007-06-04
IPC分类号： G01R33/56
CPC分类号： G01R33/5611
摘要： An RF coil assembly includes a plurality of RF source coils and an RF target coil separate from the plurality of RF source coils. A computer is programmed to acquire MR data of an imaging object from each of the plurality of RF source coils and to acquire MR data of the imaging object from the RF target coil. The computer is further programmed to calculate a set of weights based on a relationship between MR data acquired from each RF source coil and MR data acquired from the RF target coil and to reconstruct an image based on an application of the set of weights to at least a portion of the MR data acquired from each of the plurality of RF source coils.
摘要翻译： RF线圈组件包括多个RF源线圈和与多个RF源线圈分离的RF目标线圈。 计算机被编程为从多个RF源线圈中的每一个获取成像对象的MR数据，并从RF目标线圈获取成像对象的MR数据。 计算机还被编程为基于从每个RF源线圈获取的MR数据与从RF目标线圈获取的MR数据之间的关系来计算一组权重，并且基于该组权重的应用至少重构图像 从多个RF源线圈中的每一个获取的MR数据的一部分。
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公开(公告)号：US07688068B2
公开(公告)日：2010-03-30
申请号：US12116067
申请日：2008-05-06
申请人： Philip James Beatty
发明人： Philip James Beatty
IPC分类号： G01V3/00
CPC分类号： G01R33/5611 , A61B5/055 , G01R33/5619
摘要： A system and method for combining parallel imaging and compressed sensing techniques to reconstruct an MR image includes a computer programmed to acquire undersampled MR data for a plurality of k-space locations that is less than an entirety of a k-space grid. The computer is further programmed to synthesize unacquired MR data by way of a parallel imaging technique for a portion of k-space location at which MR data was not acquired and apply a compressed sensing reconstruction technique to generate a reconstructed image from the acquired undersampled MR data and the synthesized unacquired data.
摘要翻译： 用于组合并行成像和压缩感测技术以重构MR图像的系统和方法包括被编程为针对小于整个k空间网格的多个k空间位置获取欠采样MR数据的计算机。 计算机还被编程为通过并行成像技术对未获取MR数据的k空间位置的一部分合成无序MR数据，并应用压缩感测重建技术，以从所获取的欠采样MR数据生成重建图像 和合成的无序数据。
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8.发明授权公开(公告)号：US07492153B2
公开(公告)日：2009-02-17
申请号：US11757571
申请日：2007-06-04
IPC分类号： G01V3/00
CPC分类号： G01R33/5611
摘要： An RF coil assembly includes a plurality of RF source coils and an RF target coil separate from the plurality of RF source coils. A computer is programmed to acquire MR data of an imaging object from each of the plurality of RF source coils and to acquire MR data of the imaging object from the RF target coil. The computer is further programmed to calculate a set of weights based on a relationship between MR data acquired from each RF source coil and MR data acquired from the RF target coil and to reconstruct an image based on an application of the set of weights to at least a portion of the MR data acquired from each of the plurality of RF source coils.
摘要翻译： RF线圈组件包括多个RF源线圈和与多个RF源线圈分离的RF目标线圈。 计算机被编程为从多个RF源线圈中的每一个获取成像对象的MR数据，并从RF目标线圈获取成像对象的MR数据。 计算机还被编程为基于从每个RF源线圈获取的MR数据与从RF目标线圈获取的MR数据之间的关系来计算一组权重，并且基于该组权重的应用至少重构图像 从多个RF源线圈中的每一个获取的MR数据的一部分。
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9.发明申请公开(公告)号：US20120262172A1
公开(公告)日：2012-10-18
申请号：US13450177
申请日：2012-04-18
申请人： James Hartman Holmes , Jean Helen Brittain , Reed Frederick Busse , Ajeetkumar Gaddipati , Xiaoli Zhao , Philip James Beatty , Zhiqiang Li , Howard Andrew Rowley
发明人： James Hartman Holmes , Jean Helen Brittain , Reed Frederick Busse , Ajeetkumar Gaddipati , Xiaoli Zhao , Philip James Beatty , Zhiqiang Li , Howard Andrew Rowley
IPC分类号： G01R33/48
CPC分类号： G01R33/56509 , G01R33/4824 , G01R33/5602 , G01R33/5611
摘要： A method includes the acts of acquiring a blade of k-space calibration data; acquiring a set of T1-weighted k-space imaging data, the set of T1-weighted k-space imaging data having blades of undersampled k-space data rotated about a section of k-space. Each blade of undersampled k-space data includes first data points having acquired data and second data points that are missing data. The method also includes generating a set of reconstruction weights for the blades of undersampled k-space data using the blade of k-space calibration data; synthesizing k-space data for at least a portion of the second data points using the set of reconstruction weights; and generating a T1-weighted image using the T1-weighted k-space imaging data and the synthesized k-space data.
摘要翻译： 一种方法包括获取k空间校准数据的叶片的动作; 获取一组T1加权的k空间成像数据，该组T1加权的k空间成像数据具有围绕k空间的一部分旋转的欠采样k空间数据的叶片。 每个欠采样的k空间数据刀片包括具有获取数据的第一数据点和缺失数据的第二数据点。 该方法还包括：使用k空间校准数据的叶片为下采样的k空间数据的叶片生成一组重建权重; 使用所述一组重建权重来合成所述第二数据点的至少一部分的k空间数据; 以及使用T1加权的k空间成像数据和合成的k空间数据生成T1加权图像。
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10.发明授权公开(公告)号：US08076938B2
公开(公告)日：2011-12-13
申请号：US12415948
申请日：2009-03-31
IPC分类号： G01V3/00
CPC分类号： G01R33/5611
摘要： A method for generating a magnetic resonance (MR) image includes acquiring calibration data from each of a plurality of RF source coils. Calibration data for a virtual coil is generated based on the calibration data from the plurality of RF source coils and a set of synthesis weights is generated based on the calibration data from the plurality of RF source coils and the calibration data for the virtual coil. Accelerated MR data is acquired from each of the plurality of RF source coils. An image can be reconstructed based on an application of the set of synthesis weights to the accelerated MR data from the plurality of RF source coils.
摘要翻译： 用于产生磁共振（MR）图像的方法包括从多个RF源线圈中的每一个获取校准数据。 基于来自多个RF源线圈的校准数据生成虚拟线圈的校准数据，并且基于来自多个RF源线圈的校准数据和虚拟线圈的校准数据生成一组合成权重。 从多个RF源线圈中的每一个获取加速MR数据。 可以基于对来自多个RF源线圈的加速MR数据的合成权重集合的应用来重构图像。
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