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    • 2. 发明申请
    • METHOD AND APPARATUS FOR CORRECTING DISTORTION DURING MAGNETIC RESONANCE IMAGING
    • 用于校正磁共振成像期间的失真的方法和装置
    • US20090169084A1
    • 2009-07-02
    • US12344922
    • 2008-12-29
    • Guo Bin LiBi Da Zhang
    • Guo Bin LiBi Da Zhang
    • G06K9/00G06K9/40
    • G01R33/561G01R33/4824G01R33/56509G01R33/56527G01R33/56536G01R33/56563
    • In a method and apparatus for correcting distortion during magnetic resonance imaging k space data in a number of readout encoding directions, wherein the sampling points on the phase encoding lines are concentrated in low frequency regions and their number is less than that of full sampling points. A view angle tilting compensation gradient is superimposed on the axis of a layer selection gradient. The k space data acquired from the number of directions are then combined. Due to the fact that the superimposition of the view angle tilting compensation gradient on the axis of the slice selection gradient can effectively correct geometric distortions, and at the same time the resolution in phase encoding lines is relatively high, low resolution contents are provided only in readout encoding directions, so the degree of blurring in the final image is substantially reduced. Furthermore, by acquiring the k space data in a number of readout directions the sensitivity to motion artifacts can effectively be reduced. Not only can correction of the geometric distortion be performed during magnetic resonance imaging, but the degree of blurring and motion artifacts in the final image.
    • 在用于校正多个读出编码方向的磁共振成像k空间数据中的失真的方法和装置中,其中相位编码线上的采样点集中在低频区域中,并且它们的数量小于全采样点的数目。 视角倾斜补偿梯度叠加在层选择梯度的轴上。 然后组合从多个方向获得的k个空间数据。 由于视角倾斜补偿梯度在切片选择梯度的轴上的叠加可以有效地校正几何失真,同时相位编码线中的分辨率相对较高,所以仅在 读取编码方向,因此最终图像中的模糊程度显着降低。 此外,通过在多个读出方向上获取k空间数据,可以有效地降低对运动伪影的敏感度。 不仅可以在磁共振成像期间执行几何失真的校正,而且可以在最终图像中进行模糊和运动伪影的程度。
    • 4. 发明授权
    • Method for calculating signal-to-noise ratio in parallel acquisition image reconstruction
    • 并行采集图像重建中信噪比的计算方法
    • US07719275B2
    • 2010-05-18
    • US12152571
    • 2008-05-15
    • Cai Xia FuJian Min WangBi Da ZhangQiang Zhang
    • Cai Xia FuJian Min WangBi Da ZhangQiang Zhang
    • G01V3/00
    • G01R33/5611
    • The invention discloses a method for calculating the signal-to-noise ratio (SNR) in parallel acquisition image reconstruction, comprising: determining a reconstruction expression for a linear operation of the image reconstruction; determining a weighted coefficient according to the reconstruction expression; calculating the SNR according to the weighted coefficient and the raw data. The SNR not only is relevant to the geometric shape and position of the coils, but also is influenced by the reconstruction method and the sampling mode. The SNR is calculated based on contribution of the raw data at positions in the reading direction from all the phase-coding lines in all acquisition channels. It reflects more precisely the loss of the SNR in the parallel acquisition image reconstruction, especially the changes in the SNR caused by the number of the reference lines combined during the reconstruction.
    • 本发明公开了一种用于计算并行采集图像重构中的信噪比(SNR)的方法,包括:确定图像重建的线性运算的重构表达式; 根据重建表达式确定加权系数; 根据加权系数和原始数据计算SNR。 SNR不仅与线圈的几何形状和位置有关,而且还受到重建方法和采样模式的影响。 基于来自所有采集通道中的所有相位编码线的读取方向的位置处的原始数据的贡献来计算SNR。 它更准确地反映了并行采集图像重构中SNR的损失,特别是由重建期间组合的参考线数引起的SNR的变化。
    • 5. 发明授权
    • Method and apparatus for reconstructing parallel-acquired image
    • 用于重建并行采集图像的方法和装置
    • US07576539B2
    • 2009-08-18
    • US12152573
    • 2008-05-15
    • Cai Xia FuJian Min WangBi Da ZhangQiang Zhang
    • Cai Xia FuJian Min WangBi Da ZhangQiang Zhang
    • G01V3/00
    • G01R33/5611
    • The invention discloses a method and an apparatus for reconstructing a parallel-acquired image, comprising: generating reconstruction data by combining uniformly under-sampled data and low-frequency fully-sampled data in MRI K-space according to a hybrid sampling mode; calculating the sensitivity distribution of a coil according to said low-frequency fully-sampled data; and reconstructing an image according to the reconstruction data, the coil's sensitivity distribution and the hybrid sampling mode. The signal to noise ratio of the reconstructed image is effectively improved by using the reconstruction data combined with the low-frequency fully-sampled data in reconstructing the image since the low-frequency fully-sampled data contains more useful information.
    • 本发明公开了一种用于重建并行采集图像的方法和装置,包括:根据混合采样模式,通过在MRI K空间中组合均匀低采样数据和低频全采样数据,生成重建数据; 根据所述低频全采样数据计算线圈的灵敏度分布; 并根据重建数据,线圈的灵敏度分布和混合采样模式重建图像。 由于低频全采样数据包含更多有用的信息,所以通过在重构图像中使用与低频全采样数据组合的重构数据,有效地提高了重构图像的信噪比。
    • 6. 发明申请
    • Method for calculating signal-to-noise ratio in parallel acquisition image reconstruction
    • 并行采集图像重建中信噪比的计算方法
    • US20080285833A1
    • 2008-11-20
    • US12152571
    • 2008-05-15
    • Cai Xia FuJian Min WangBi Da ZhangQiang Zhang
    • Cai Xia FuJian Min WangBi Da ZhangQiang Zhang
    • G06K9/36G06K9/00
    • G01R33/5611
    • The invention discloses a method for calculating the signal-to-noise ratio (SNR) in parallel acquisition image reconstruction, comprising: determining a reconstruction expression for a linear operation of the image reconstruction; determining a weighted coefficient according to the reconstruction expression; calculating the SNR according to the weighted coefficient and the raw data. The SNR not only is relevant to the geometric shape and position of the coils, but also is influenced by the reconstruction method and the sampling mode. The SNR is calculated based on contribution of the raw data at positions in the reading direction from all the phase-coding lines in all acquisition channels. It reflects more precisely the loss of the SNR in the parallel acquisition image reconstruction, especially the changes in the SNR caused by the number of the reference lines combined during the reconstruction.
    • 本发明公开了一种用于计算并行采集图像重构中的信噪比(SNR)的方法,包括:确定图像重建的线性运算的重构表达式; 根据重建表达式确定加权系数; 根据加权系数和原始数据计算SNR。 SNR不仅与线圈的几何形状和位置有关,而且还受到重建方法和采样模式的影响。 基于来自所有采集通道中的所有相位编码线的读取方向的位置处的原始数据的贡献来计算SNR。 它更准确地反映了并行采集图像重建中SNR的损失,特别是由重构期间组合的参考线数引起的SNR的变化。
    • 8. 发明申请
    • Method and apparatus for reconstructing parallel-acquired image
    • 用于重建并行采集图像的方法和装置
    • US20080285834A1
    • 2008-11-20
    • US12152573
    • 2008-05-15
    • Cai Xia FuJian Min WangBi Da ZhangQiang Zhang
    • Cai Xia FuJian Min WangBi Da ZhangQiang Zhang
    • G06K9/00
    • G01R33/5611
    • The invention discloses a method and an apparatus for reconstructing a parallel-acquired image, comprising: generating reconstruction data by combining uniformly under-sampled data and low-frequency fully-sampled data in MRI K-space according to a hybrid sampling mode; calculating the sensitivity distribution of a coil according to said low-frequency fully-sampled data; and reconstructing an image according to the reconstruction data, the coil's sensitivity distribution and the hybrid sampling mode. The signal to noise ratio of the reconstructed image is effectively improved by using the reconstruction data combined with the low-frequency fully-sampled data in reconstructing the image since the low-frequency fully-sampled data contains more useful information.
    • 本发明公开了一种用于重建并行采集图像的方法和装置,包括:根据混合采样模式,通过在MRI K空间中组合均匀低采样数据和低频全采样数据,生成重建数据; 根据所述低频全采样数据计算线圈的灵敏度分布; 并根据重建数据,线圈的灵敏度分布和混合采样模式重建图像。 由于低频全采样数据包含更多有用的信息,所以通过在重构图像中使用与低频全采样数据组合的重构数据,有效地提高了重构图像的信噪比。