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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：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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3.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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4.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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5.发明申请公开(公告)号：US20080024132A1
公开(公告)日：2008-01-31
申请号：US11867186
申请日：2007-10-04
申请人： Anja Brau , Philip Beatty , Stefan Skare , Roland Bammer
发明人： Anja Brau , Philip Beatty , Stefan Skare , Roland Bammer
IPC分类号： G01R33/20
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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公开(公告)号：US07535222B2
公开(公告)日：2009-05-19
申请号：US11619008
申请日：2007-01-02
申请人： Roland Bammer , Stefan T. Skare
发明人： Roland Bammer , Stefan T. Skare
IPC分类号： G01V3/00
CPC分类号： G01R33/5615 , G01R33/4824 , G01R33/5616 , G01R33/565 , G01R33/56509 , G01R33/5676
摘要： Disclosed is a new propeller EPI pulse sequence with reduced sensitivity to field inhomogeneities is proposed. Image artifacts such as blurring due to Nyquist ghosting and susceptibility gradients are investigated and compared with those obtained in previous propeller EPI studies. The proposed propeller EPI sequence uses a readout that is played out along the short axis of the propeller blade, orthogonal to the readout used in previous propeller methods. In contrast to long-axis readout propeller EPI, this causes the echo spacing between two consecutive phase-encoding (PE) lines to decrease, which in turn increases the k-space velocity in this direction and hence the pseudo-bandwidth.
摘要翻译： 提出了一种新的螺旋桨EPI脉冲序列，其对场不均匀性的灵敏度降低。 研究了由于奈奎斯特重影和敏感梯度引起的模糊图像伪像，并与之前推进的EPI研究中获得的图像进行了比较。 所提出的螺旋桨EPI序列使用沿着螺旋桨叶片的短轴播放的读数，与先前的螺旋桨方法中使用的读数正交。 与长轴读出螺旋桨EPI相反，这导致两个连续的相位编码（PE）线之间的回波间隔减小，这又增加了该方向上的k空间速度，从而增加了伪带宽。
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公开(公告)号：US20120121124A1
公开(公告)日：2012-05-17
申请号：US13134703
申请日：2011-06-15
申请人： Roland Bammer , Christoph Forman , Murat Aksoy
发明人： Roland Bammer , Christoph Forman , Murat Aksoy
IPC分类号： G06K9/00
CPC分类号： G06K9/3216 , G06T7/248 , G06T7/74 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/30016
摘要： The tracking and compensation of patient motion during a magnetic resonance imaging (MRI) acquisition is an unsolved problem. A self-encoded marker where each feature on the pattern is augmented with a 2-D barcode is provided. Hence, the marker can be tracked even if it is not completely visible in the camera image. Furthermore, it offers considerable advantages over a simple checkerboard marker in terms of processing speed, since it makes the correspondence search of feature points and marker-model coordinates, which are required for the pose estimation, redundant. Significantly improved accuracy relative to a planar checkerboard pattern is obtained for both phantom experiments and in-vivo experiments with substantial patient motion. In an alternative aspect, a marker having non-coplanar features can be employed to provide improved motion tracking. Such a marker provides depth cues that can be exploited to improve motion tracking. The aspects of non-coplanar patterns and self-encoded patterns can be practiced independently or in combination.
摘要翻译： 磁共振成像（MRI）采集期间患者运动的跟踪和补偿是未解决的问题。 提供了一种自编码标记，其中图案上的每个特征都用2-D条形码增加。 因此，即使在相机图像中不完全可见，也可以跟踪标记。 此外，它在处理速度方面比简单的棋盘标记提供了显着的优点，因为它使得姿势估计所需的特征点和标记 - 模型坐标的对应搜索是冗余的。 对于虚拟实验和具有实质性患者运动的体内实验，获得相对于平面棋盘图案的显着提高的精度。 在另一方面，可以使用具有非共面特征的标记来提供改进的运动跟踪。 这样的标记提供可以利用来提高运动跟踪的深度提示。 非共面图案和自编码图案的方面可以独立地或组合地实现。
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公开(公告)号：US07902825B2
公开(公告)日：2011-03-08
申请号：US12454530
申请日：2009-05-18
申请人： Roland Bammer , Murat Aksoy
发明人： Roland Bammer , Murat Aksoy
IPC分类号： G01V3/00
CPC分类号： G01R33/56341 , G01R33/56509
摘要： In tensor MRI, a set of k-space MRI data points is acquired that includes one or more k-space subsets of MRI data points. An object orientation (or spatial transformation) corresponding to each of the k-space subsets is determined. Because the object orientation (or spatial transformation) can differ from subset to subset, the overall set of k-space data can be inconsistent with respect to object orientation (or spatial transformation). This possible inconsistency can be addressed by providing a k-space tensor model that includes object orientation and/or spatial transformation information corresponding to each of the subsets. A tensor MRI image can be reconstructed from the set of k-space MRI data points by using the k-space tensor model to account for object orientation and/or spatial transformation.
摘要翻译： 在张量MRI中，获取包括MRI数据点的一个或多个k空间子集的一组k空间MRI数据点。 确定对应于每个k-空间子集的对象取向（或空间变换）。 由于对象方向（或空间变换）可以从子集到子集不同，所以k空间数据的整体集可以与对象取向（或空间变换）不一致。 可以通过提供包括与每个子集相对应的对象取向和/或空间变换信息的k空间张量模型来解决这种可能的不一致性。 可以通过使用k空间张量模型来考虑物体取向和/或空间变换，从该组k空间MRI数据点重建张量MRI图像。
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9.发明授权Dual gradient echo pulse sequence using interleaved spiral-out spiral-in k-space trajectories 有权双梯度回波脉冲序列使用交错螺旋线螺旋k空间轨迹公开(公告)号：US07368910B2
公开(公告)日：2008-05-06
申请号：US10944084
申请日：2004-09-17
申请人： Roland Bammer , Michael Mosley
发明人： Roland Bammer , Michael Mosley
CPC分类号： A61B5/0263 , A61K49/06 , G01R33/5611 , G01R33/56341
摘要： Measurements of functional, hemographic, and blood flow parameters use a multiple echo or spin echo gradient pulse sequence whereby an early echo is acquired near the beginning of the pulse sequence which avoids saturation effects and a later echo near the end of the pulse sequence which can provide information with more sensitivity to a contrast agent for a susceptibility weighted image.
摘要翻译： 功能，血液动力学和血液流动参数的测量使用多重回波或自旋回波梯度脉冲序列，从而在脉冲序列开始附近获得早期回波，其避免了饱和效应，并且在脉冲序列结束附近的后来的回波 提供对敏感性加权图像的造影剂更敏感的信息。
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10.发明授权Apparatus for real-time phase correction for diffusion-weighted magnetic resonance imaging using adaptive RF pulses 有权用于使用自适应RF脉冲进行扩散加权磁共振成像的实时相位校正的装置公开(公告)号：US09329252B2
公开(公告)日：2016-05-03
申请号：US13600146
申请日：2012-08-30
申请人： Roland Bammer , Anh Tu Van , Rafael O'Halloran
发明人： Roland Bammer , Anh Tu Van , Rafael O'Halloran
IPC分类号： G01R33/56 , G01R33/563 , G01R33/565 , G01R33/561 , G01R33/567
CPC分类号： G01R33/56 , G01R33/5614 , G01R33/56341 , G01R33/56509 , G01R33/5676
摘要： Phase error in MR imaging is corrected in real time by providing adaptive RF pulses and corresponding adaptive magnetic field gradients to mitigate the effect of phase error in the imaging subject. A real time phase error map is obtained, and then adaptive RF pulses and corresponding field gradients are applied that remove the problematic effects of the phase error. Depending on details of the MR imaging mode being employed, there are several ways this removal can be done. Phase error can be cancelled by providing RF pulses that make the phase in the imaging subject uniform. Another approach is to make the adaptive RF pulses insensitive to the phase errors that are present.
摘要翻译： 通过提供自适应RF脉冲和相应的自适应磁场梯度来实时地校正MR成像中的相位误差，以减轻成像对象中的相位误差的影响。 获得实时相位误差图，然后应用自适应RF脉冲和相应的场梯度，消除相位误差的有问题的影响。 根据所采用的MR成像模式的细节，可以通过几种方式来实现这种移除。 可以通过提供使成像对象中的相位均匀的RF脉冲来消除相位误差。 另一种方法是使自适应RF脉冲对存在的相位误差不敏感。
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