公开(公告)号：US08848977B2

公开(公告)日：2014-09-30

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 ,  G06T7/20 ,  G06T7/00 ,  G06K9/32

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 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。 对于具有实质性的患者运动的虚拟实验和体内实验，获得显着提高的精度。 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。

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。

公开(公告)号：US20090284257A1

公开(公告)日：2009-11-19

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： G01R33/20

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。

公开(公告)号：US07348776B1

公开(公告)日：2008-03-25

申请号：US11469617

申请日：2006-09-01

申请人： Murat Aksoy ,  Chunlei Liu ,  Rexford Newbould ,  Roland Bammer

发明人： Murat Aksoy ,  Chunlei Liu ,  Rexford Newbould ,  Roland Bammer

IPC分类号： G01V3/00

CPC分类号： G01R33/5611 ,  G01R33/56509 ,  G01R33/5676

摘要： A method of correcting for motion in magnetic resonance images of an object detected by a plurality of signal receiver coils comprising the steps of acquiring a plurality of image signals with the plurality of receiver coils, determining motion between sequential image signals relative to a reference, applying rotation and translation to image signals to align image signals with the reference, determining altered coil sensitivities due to object movement during image signal acquisition, and employing parallel imaging reconstruction of the rotated and translated image signals using the altered coil sensitivities in order to compensate for undersampling in k-space.

摘要翻译： 一种校正由多个信号接收器线圈检测的对象的磁共振图像中的运动的方法，包括以下步骤：利用所述多个接收器线圈获取多个图像信号，确定相对于参考的顺序图像信号之间的运动，应用 旋转和平移到图像信号以使图像信号与参考对准，确定在图像信号采集期间由于物体移动引起的线圈灵敏度变化，并且使用改变的线圈灵敏度采用旋转和平移的图像信号的并行成像重建，以补偿欠采样 在k空间。

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。