公开(公告)号：US20080297152A1

公开(公告)日：2008-12-04

申请号：US11757571

申请日：2007-06-04

申请人： Anja C.S. Brau ,  Philip James Beatty ,  Dwight G. Nishimura

发明人： Anja C.S. Brau ,  Philip James Beatty ,  Dwight G. Nishimura

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。

公开(公告)号：US20090134872A1

公开(公告)日：2009-05-28

申请号：US12363346

申请日：2009-01-30

申请人： Anja C.S. Brau ,  Philip James Beatty ,  Stefan Skare ,  Roland Bammer

发明人： Anja C.S. Brau ,  Philip James Beatty ,  Stefan Skare ,  Roland Bammer

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。

公开(公告)号：US20100244825A1

公开(公告)日：2010-09-30

申请号：US12415948

申请日：2009-03-31

申请人： Anja C.S. Brau ,  Philip James Beatty

发明人： Anja C.S. Brau ,  Philip James Beatty

IPC分类号： G01R33/54 ,  G01R33/48

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。