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1.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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2.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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3.发明申请SYSTEM AND METHOD OF PARALLEL IMAGING FOR MAGNETIC RESONANCE IMAGING NEAR METALLIC IMPLANTS 有权用于金属植入物附近的磁共振成像并行成像的系统和方法公开(公告)号：US20110241669A1
公开(公告)日：2011-10-06
申请号：US12751708
申请日：2010-03-31
IPC分类号： G01R33/48
CPC分类号： G01R33/5611 , G01R33/285
摘要： A system and method for magnetic resonance imaging is disclosed, the MRI apparatus comprising a computer programmed to acquire a plurality of 3D MR data sets, each 3D MR data set acquired using a central transmit frequency and a central receive frequency set to an offset frequency value that is distinct for each 3D MR data set, wherein at least a portion of each 3D MR data set is accelerated k-space data, and wherein at least one of the plurality of 3D MR data sets comprises fully-sampled calibration k-space data lines. The computer is also programmed to determine reconstruction weights from the fully-sampled calibration k-space data lines, reconstruct an image for each 3D MR data set using the reconstruction weights from the fully-sampled calibration k-space data lines to synthesize unacquired data, and generate a composite image from the reconstructed images based on the plurality of 3D MR data sets.
摘要翻译： 公开了一种用于磁共振成像的系统和方法，所述MRI装置包括被编程以获取多个3D MR数据集的计算机，使用中心发射频率和设置为偏移频率值的中心接收频率获取的每个3D MR数据集 对于每个3D MR数据集是不同的，其中每个3D MR数据集的至少一部分被加速k空间数据，并且其中所述多个3D MR数据集中的至少一个包括完全采样的校准k空间数据 线条。 计算机还被编程为从全采样的校准k空间数据线确定重建权重，使用来自完全采样的校准k空间数据线的重建权重重建每个3D MR数据集的图像以合成无序数据， 并且基于所述多个3D MR数据集从所述重构图像生成合成图像。
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4.发明授权公开(公告)号：US07768264B1
公开(公告)日：2010-08-03
申请号：US11744329
申请日：2007-05-04
IPC分类号： G01V3/00
CPC分类号： G01R33/5611
摘要： A system and method for parallel imaging is disclosed that generates linear combination coefficient weights by solving systems of linear equations formulated with correlation values. An MRI apparatus includes a computer programmed to acquire MR data from an imaging volume for a plurality of encoding locations using an array of RF receiver coils. Correlation values are calculated from the MR data. From these calculated correlation values, synthesis weights are generated. An image is then reconstructed based on an application of the synthesis weights to at least a portion of the MR data acquired from the array of RF receiver coils.
摘要翻译： 公开了一种用于并行成像的系统和方法，其通过求解具有相关值的线性方程组来生成线性组合系数权重。 MRI装置包括被编程为使用RF接收器线圈阵列从多个编码位置的成像体积获取MR数据的计算机。 相关值由MR数据计算。 从这些计算的相关值，生成合成权重。 然后基于将合成权重应用于从RF接收器线圈阵列获取的MR数据的至少一部分来重建图像。
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公开(公告)号：US07619410B2
公开(公告)日：2009-11-17
申请号：US11760368
申请日：2007-06-08
IPC分类号： G01V3/00
CPC分类号： G01R33/5611 , G01R33/4824 , G01R33/561 , G01R33/565 , G01R33/56509 , G01R33/5676
摘要： A system and method for MR imaging includes the use of a form of autocalibrated parallel imaging. By combining a segmented, rotated acquisition trajectory with autocalibration parallel imaging (API), the system and method can achieve improved motion insensitivity while maintaining the benefits of accelerated acquisition due to parallel imaging. In various embodiments, calibration values from a set of reference data or from another set of imaging data can be used in determining reconstruction weights for a given k-space data set. Thus, separate calibration data need not necessarily be acquired for each set of imaging data.
摘要翻译： 用于MR成像的系统和方法包括使用自动校准的并行成像的形式。 通过将分段旋转采集轨迹与自动校准并行成像（API）组合，系统和方法可以实现改善的运动不敏感性，同时保持由于并行成像而加速采集的好处。 在各种实施例中，来自一组参考数据或来自另一组成像数据的校准值可用于确定给定k空间数据集的重建权重。 因此，不需要为每组成像数据获取单独的校准数据。
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公开(公告)号：US20080303521A1
公开(公告)日：2008-12-11
申请号：US11760368
申请日：2007-06-08
IPC分类号： G01R33/561
CPC分类号： G01R33/5611 , G01R33/4824 , G01R33/561 , G01R33/565 , G01R33/56509 , G01R33/5676
摘要： A system and method for MR imaging includes the use of a form of autocalibrated parallel imaging. By combining a segmented, rotated acquisition trajectory with autocalibration parallel imaging (API), the system and method can achieve improved motion insensitivity while maintaining the benefits of accelerated acquisition due to parallel imaging. In various embodiments, calibration values from a set of reference data or from another set of imaging data can be used in determining reconstruction weights for a given k-space data set. Thus, separate calibration data need not necessarily be acquired for each set of imaging data.
摘要翻译： 用于MR成像的系统和方法包括使用自动校准的并行成像的形式。 通过将分段旋转采集轨迹与自动校准并行成像（API）组合，系统和方法可以实现改善的运动不敏感性，同时保持由于并行成像而加速采集的好处。 在各种实施例中，来自一组参考数据或来自另一组成像数据的校准值可用于确定给定k空间数据集的重建权重。 因此，不需要为每组成像数据获取单独的校准数据。
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7.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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8.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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9.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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10.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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