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    • 1. 发明申请
    • TIME-RESOLVED PHASE-CONTRAST MR IMAGING WITH SPEED ENCODING
    • 通过速度编码的时间分辨率对比度MR成像
    • US20140285194A1
    • 2014-09-25
    • US14221645
    • 2014-03-21
    • Jana HutterPeter Schmitt
    • Jana HutterPeter Schmitt
    • G01R33/56
    • G01R33/56G01R33/5608G01R33/5611G01R33/56316
    • In a method and apparatus for time-resolved phase-contrast magnetic resonance (MR) imaging with speed encoding, MR signals are detected with multiple receivers in each of numerous time segments in order to acquire raw data in each of the time segments, in each case for numerous MR images with different speed encodings. Stationary image points and/or non-stationary image points are identified, dependent on the detected MR signals. A mask is defined, dependent on the identified stationary image points and/or the non-stationary image points, wherein the mask is locally variable. The numerous MR images for the numerous time segments are reconstructed from the acquired raw data, wherein the reconstruction occurs in an iterative process and with a temporal regularization, which is dependent on the mask.
    • 在用于通过速度编码进行时分解相位对比磁共振(MR)成像的方法和装置中,在多个时间段中的每一个中用多个接收器检测MR信号,以便在每个时间段中获取每个时间段中的原始数据 用于具有不同速度编码的多个MR图像的情况。 取决于检测到的MR信号来识别固定图像点和/或非平稳图像点。 根据所识别的固定图像点和/或非平稳图像点来定义掩模,其中掩模是局部变量的。 从所获取的原始数据重建多个时间段的多个MR图像,其中重建发生在迭代过程中并且具有取决于掩码的时间正则化。
    • 2. 发明申请
    • SAMPLING PATTERN FOR ITERATIVE MAGNETIC RESONANCE IMAGE RECONSTRUCTION
    • 用于迭代磁共振图像重建的采样模式
    • US20130049752A1
    • 2013-02-28
    • US13592675
    • 2012-08-23
    • Jana HutterPeter Schmitt
    • Jana HutterPeter Schmitt
    • G01R33/54
    • G01R33/5611G01R33/5635
    • In a method to generate magnetic resonance (MR) images of an examination subject, MR signals are detected simultaneously with multiple coils, each coil having its own coil characteristic. In the detection of the MR signals, raw data space is incompletely filled with MR signals; with raw data space being undersampled in a central raw data region with a coherent acquisition pattern that is composed of a spatially repeating set of raw data points; and raw data space outside of the central raw data region is sampled with an incoherent acquisition pattern. The MR image is reconstructed from the detected MR signals, step-by-step in an iterative reconstruction procedure using a reconstruction matrix A, starting from an initial estimate; wherein the reconstruction matrix has continuing information about the coil characteristics with which the MR signals were detected.
    • 在产生检查对象的磁共振(MR)图像的方法中,与多个线圈同时检测MR信号,每个线圈具有其自己的线圈特性。 在MR信号的检测中,原始数据空间不完全充满MR信号; 原始数据空间在具有由空间上重复的原始数据点组合的相干采集模式的中央原始数据区域中欠采样; 并且以非相干采集模式对中心原始数据区域外的原始数据空间进行采样。 从初始估计开始,使用重构矩阵A,从迭代重建过程中逐步地从检测到的MR信号中重建MR图像; 其中重建矩阵具有关于检测到MR信号的线圈特性的持续信息。
    • 5. 发明授权
    • Sampling pattern for iterative magnetic resonance image reconstruction
    • 用于迭代磁共振图像重建的采样模式
    • US09035653B2
    • 2015-05-19
    • US13592675
    • 2012-08-23
    • Jana HutterPeter Schmitt
    • Jana HutterPeter Schmitt
    • G01R33/54G01R33/561G01R33/563
    • G01R33/5611G01R33/5635
    • In a method to generate magnetic resonance (MR) images of an examination subject, MR signals are detected simultaneously with multiple coils, each coil having its own coil characteristic. In the detection of the MR signals, raw data space is incompletely filled with MR signals; with raw data space being undersampled in a central raw data region with a coherent acquisition pattern that is composed of a spatially repeating set of raw data points; and raw data space outside of the central raw data region is sampled with an incoherent acquisition pattern. The MR image is reconstructed from the detected MR signals, step-by-step in an iterative reconstruction procedure using a reconstruction matrix A, starting from an initial estimate; wherein the reconstruction matrix has continuing information about the coil characteristics with which the MR signals were detected.
    • 在产生检查对象的磁共振(MR)图像的方法中,与多个线圈同时检测MR信号,每个线圈具有其自己的线圈特性。 在MR信号的检测中,原始数据空间不完全充满MR信号; 原始数据空间在具有由空间上重复的原始数据点组合的相干采集模式的中央原始数据区域中欠采样; 并且以非相干采集模式对中心原始数据区域外的原始数据空间进行采样。 从初始估计开始,使用重构矩阵A,从迭代重建过程中逐步地从检测到的MR信号中重建MR图像; 其中重建矩阵具有关于检测到MR信号的线圈特性的持续信息。