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    MULTI-STAGE MAGNETIC RESONANCE RECONSTRUCTION FOR PARALLEL IMAGING APPLICATIONS
    1.
    发明申请
    MULTI-STAGE MAGNETIC RESONANCE RECONSTRUCTION FOR PARALLEL IMAGING APPLICATIONS 有权
    并行成像应用的多级磁共振重建

    公开(公告)号：US20140133724A1

    公开(公告)日：2014-05-15

    申请号：US14054003

    申请日：2013-10-15

    申请人： Jun Liu ,  Zhili Yang ,  Mariappan S. Nadar ,  Nirmal Janardhanan ,  Michael Zenge ,  Edgar Mueller ,  Qiu Wang ,  Axel Loewe

    发明人： Jun Liu ,  Zhili Yang ,  Mariappan S. Nadar ,  Nirmal Janardhanan ,  Michael Zenge ,  Edgar Mueller ,  Qiu Wang ,  Axel Loewe

    IPC分类号： G06T11/00

    CPC分类号： G01R33/5611

    摘要： A computer-implemented method for reconstruction of a magnetic resonance image includes acquiring a first incomplete k-space data set comprising a plurality of first k-space lines spaced according to an acceleration factor and one or more calibration lines. A parallel imaging reconstruction technique is applied to the first incomplete k-space data to determine a plurality of second k-space lines not included in the first incomplete k-space data set, thereby yielding a second incomplete k-space data set. Then, the parallel imaging reconstruction technique is applied to the second incomplete k-space data to determine a plurality of third k-space lines not included in the second incomplete k-space data, thereby yielding a complete k-space data set.

    摘要翻译： 用于重建磁共振图像的计算机实现的方法包括获取包括根据加速因子和一个或多个校准线间隔开的多个第一k空间线的第一不完整k空间数据集。 将并行成像重建技术应用于第一不完整k空间数据以确定未包括在第一不完整k空间数据集中的多个第二k空间线，从而产生第二不完整k空间数据集。 然后，将并行成像重构技术应用于第二不完整k空间数据，以确定不包括在第二不完整k空间数据中的多个第三k空间线，从而产生完整的k空间数据集。

    Multi-stage magnetic resonance reconstruction for parallel imaging applications
    2.
    发明授权
    Multi-stage magnetic resonance reconstruction for parallel imaging applications 有权
    并行成像应用的多级磁共振重建

    公开(公告)号：US09097780B2

    公开(公告)日：2015-08-04

    申请号：US14054003

    申请日：2013-10-15

    申请人： Jun Liu ,  Zhili Yang ,  Mariappan S. Nadar ,  Nirmal Janardhanan ,  Michael Zenge ,  Edgar Mueller ,  Qiu Wang ,  Axel Loewe

    发明人： Jun Liu ,  Zhili Yang ,  Mariappan S. Nadar ,  Nirmal Janardhanan ,  Michael Zenge ,  Edgar Mueller ,  Qiu Wang ,  Axel Loewe

    IPC分类号： G06K9/00 ,  G01R33/561

    CPC分类号： G01R33/5611

    摘要： A computer-implemented method for reconstruction of a magnetic resonance image includes acquiring a first incomplete k-space data set comprising a plurality of first k-space lines spaced according to an acceleration factor and one or more calibration lines. A parallel imaging reconstruction technique is applied to the first incomplete k-space data to determine a plurality of second k-space lines not included in the first incomplete k-space data set, thereby yielding a second incomplete k-space data set. Then, the parallel imaging reconstruction technique is applied to the second incomplete k-space data to determine a plurality of third k-space lines not included in the second incomplete k-space data, thereby yielding a complete k-space data set.

    摘要翻译： 用于重建磁共振图像的计算机实现的方法包括获取包括根据加速因子和一个或多个校准线间隔开的多个第一k空间线的第一不完整k空间数据集。 将并行成像重建技术应用于第一不完整k空间数据以确定未包括在第一不完整k空间数据集中的多个第二k空间线，从而产生第二不完整k空间数据集。 然后，将并行成像重构技术应用于第二不完整k空间数据，以确定不包括在第二不完整k空间数据中的多个第三k空间线，从而产生完整的k空间数据集。

    MRI reconstruction with motion-dependent regularization
    5.
    发明授权
    MRI reconstruction with motion-dependent regularization 有权
    MRI重建与运动相关正则化

    公开(公告)号：US09482732B2

    公开(公告)日：2016-11-01

    申请号：US14065498

    申请日：2013-10-29

    申请人： Nicolas Chesneau ,  Nirmal Janardhanan ,  Jun Liu ,  Mariappan S. Nadar ,  Qiu Wang ,  Zhili Yang

    发明人： Nicolas Chesneau ,  Nirmal Janardhanan ,  Jun Liu ,  Mariappan S. Nadar ,  Qiu Wang ,  Zhili Yang

    IPC分类号： G06K9/00 ,  G01R33/563 ,  G01R33/48 ,  G01R33/565 ,  G01R33/561

    CPC分类号： G01R33/56308 ,  G01R33/4824 ,  G01R33/5611 ,  G01R33/56509

    摘要： A method of image reconstruction for a magnetic resonance imaging (MRI) system includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, iteratively reconstructing preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem including a regularization term weighted by a weighting parameter array, generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images, and iteratively reconstructing motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination.

    摘要翻译： 用于磁共振成像（MRI）系统的图像重建方法包括获得由MRI系统捕获的k空间扫描数据，k空间扫描数据代表欠采样区域随着时间的推移，迭代地重建欠采样的初步动态图像 该最小化问题包括由加权参数阵列加权的正则化项，产生表示欠采样区域的每个位置显示的程度的运动确定 基于初步动态图像的时间运动，以及经由最小化问题的第二实例的优化从k空间扫描数据迭代地重建该区域的运动补偿动态图像，将具有加权参数阵列的第二实例改变为 运动确定的功能。

    MRI RECONSTRUCTION WITH MOTION-DEPENDENT REGULARIZATION
    6.
    发明申请
    MRI RECONSTRUCTION WITH MOTION-DEPENDENT REGULARIZATION 有权
    MRI重建与运动依赖性定期

    公开(公告)号：US20140126796A1

    公开(公告)日：2014-05-08

    申请号：US14065498

    申请日：2013-10-29

    申请人： Nicolas Chesneau ,  Nirmal Janardhanan ,  Jun Liu ,  Mariappan S. Nadar ,  Qiu Wang ,  Zhili Yang

    发明人： Nicolas Chesneau ,  Nirmal Janardhanan ,  Jun Liu ,  Mariappan S. Nadar ,  Qiu Wang ,  Zhili Yang

    IPC分类号： G06T11/00 ,  G06T7/20

    CPC分类号： G01R33/56308 ,  G01R33/4824 ,  G01R33/5611 ,  G01R33/56509

    摘要： A method of image reconstruction for a magnetic resonance imaging (MRI) system includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, iteratively reconstructing preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem including a regularization term weighted by a weighting parameter array, generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images, and iteratively reconstructing motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination.

    摘要翻译： 用于磁共振成像（MRI）系统的图像重建方法包括获得由MRI系统捕获的k空间扫描数据，k空间扫描数据代表欠采样区域随着时间的推移，迭代地重建欠采样的初步动态图像 该最小化问题包括由加权参数阵列加权的正则化项，产生表示欠采样区域的每个位置显示的程度的运动确定 基于初步动态图像的时间运动，以及经由最小化问题的第二实例的优化从k空间扫描数据迭代地重建该区域的运动补偿动态图像，将具有加权参数阵列的第二实例改变为 运动确定的功能。