公开(公告)号：US10545211B2

公开(公告)日：2020-01-28

申请号：US15635898

申请日：2017-06-28

申请人： Chad Tyler Harris ,  Andrew Thomas Curtis ,  Philip Beatty ,  Jeff Alan Stainsby

发明人： Chad Tyler Harris ,  Andrew Thomas Curtis ,  Philip Beatty ,  Jeff Alan Stainsby

IPC分类号： G01R33/565

摘要： The present disclosure provides a method and system for correcting errors caused by non-linearities in a gradient field profile of a gradient coil in a magnetic resonance imaging (MRI) system. The method includes obtaining a non-linearity tensor at each voxel within the imaging space using a computer model of the gradient coil; correcting motion sensitive encoding using the non-linearity tensor; and generating a corrected image using the corrected motion sensitive encoding.

公开(公告)号：US20120206140A1

公开(公告)日：2012-08-16

申请号：US13342319

申请日：2012-01-03

申请人： Suchandrima Banerjee ,  Ajit Shankaranarayanan ,  Philip Beatty ,  Eric Han

发明人： Suchandrima Banerjee ,  Ajit Shankaranarayanan ,  Philip Beatty ,  Eric Han

IPC分类号： G01R33/44

CPC分类号： G01R33/5611 ,  G01R33/56509

摘要： A method for generating a magnetic resonance (MR) image includes acquiring MR data from each of a plurality of RF coils and applying a prospective motion correction method to the MR data for each RF coil including determining a set of motion measurements that include a scan plane orientation associated with each data point in the MR data. The MR data for each RF coil is divided into a plurality of scan plane orientation groups based on motion changes. A set of unaliasing coefficients is generated for each scan plan orientation group and applied to the MR data to synthesize data for each RF coil. The acquired MR data and synthesized data for each RF coil is combined to generate a scan plane orientation data set. Each scan plane orientation data set is combined to generate a complete k-space data set.

摘要翻译： 用于产生磁共振（MR）图像的方法包括从多个RF线圈中的每一个获取MR数据，并且针对每个RF线圈向MR数据应用预期运动校正方法，包括确定包括扫描平面的一组运动测量 与MR数据中的每个数据点相关联的方向。 基于运动变化将每个RF线圈的MR数据分成多个扫描平面取向组。 为每个扫描方向取向组生成一组不相关系数，并将其应用于MR数据以合成每个RF线圈的数据。 所获取的MR数据和每个RF线圈的合成数据被组合以产生扫描平面取向数据集。 每个扫描平面取向数据组被组合以产生完整的k空间数据集。

公开(公告)号：US20190004137A1

公开(公告)日：2019-01-03

申请号：US15635898

申请日：2017-06-28

申请人： Chad Tyler HARRIS ,  Andrew Thomas CURTIS ,  Philip BEATTY ,  Jeff Alan STAINSBY

发明人： Chad Tyler HARRIS ,  Andrew Thomas CURTIS ,  Philip BEATTY ,  Jeff Alan STAINSBY

IPC分类号： G01R33/565

CPC分类号： G01R33/56509 ,  G01R33/56316 ,  G01R33/56341 ,  G01R33/56572

摘要： The present disclosure provides a method and system for correcting errors caused by non-linearities in a gradient field profile of a gradient coil in a magnetic resonance imaging (MRI) system. The method includes obtaining a non-linearity tensor at each voxel within the imaging space using a computer model of the gradient coil; correcting motion sensitive encoding using the non-linearity tensor; and generating a corrected image using the corrected motion sensitive encoding.

公开(公告)号：US08823375B2

公开(公告)日：2014-09-02

申请号：US13342319

申请日：2012-01-03

申请人： Suchandrima Banerjee ,  Ajit Shankaranarayanan ,  Philip Beatty ,  Eric Han

发明人： Suchandrima Banerjee ,  Ajit Shankaranarayanan ,  Philip Beatty ,  Eric Han

IPC分类号： G01R33/44 ,  G01R33/561 ,  G01R33/565

CPC分类号： G01R33/5611 ,  G01R33/56509

摘要： A method for generating a magnetic resonance (MR) image includes acquiring MR data from each of a plurality of RF coils and applying a prospective motion correction method to the MR data for each RF coil including determining a set of motion measurements that include a scan plane orientation associated with each data point in the MR data. The MR data for each RF coil is divided into a plurality of scan plane orientation groups based on motion changes. A set of unaliasing coefficients is generated for each scan plan orientation group and applied to the MR data to synthesize data for each RF coil. The acquired MR data and synthesized data for each RF coil is combined to generate a scan plane orientation data set. Each scan plane orientation data set is combined to generate a complete k-space data set.

摘要翻译： 用于产生磁共振（MR）图像的方法包括从多个RF线圈中的每一个获取MR数据，并且针对每个RF线圈向MR数据应用预期运动校正方法，包括确定包括扫描平面的一组运动测量 与MR数据中的每个数据点相关联的方向。 基于运动变化将每个RF线圈的MR数据分成多个扫描平面取向组。 为每个扫描方向取向组生成一组不相关系数，并将其应用于MR数据以合成每个RF线圈的数据。 所获取的MR数据和每个RF线圈的合成数据被组合以产生扫描平面取向数据集。 每个扫描平面取向数据组被组合以产生完整的k空间数据集。

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。