Method for diffusion magnetic resonance imaging
    1.
    发明授权
    Method for diffusion magnetic resonance imaging 有权
    扩散磁共振成像方法

    公开(公告)号:US09229082B2

    公开(公告)日:2016-01-05

    申请号:US13676184

    申请日:2012-11-14

    CPC classification number: G01R33/5611 G01R33/4824 G01R33/56341

    Abstract: A method for diffusion magnetic resonance imaging may be provided. The method may comprise steps of performing sampling on an object at N diffusion weighted directions to acquire undersampled but complementary k-space data, combining the complementary data from different directions to obtain a full sampled k-space data, performing initial reconstruction based on common information among images at the N diffusion weighted directions, and performing joint iterative regularized reconstruction to k-space data in all diffusion weighted directions based on the initial images to obtain the desired final images. Due to the utilization of common information at the N diffusion weighted directions, the acquisition efficiency may be enhanced and image resolution and SNR of acquired images may be improved accordingly.

    Abstract translation: 可以提供扩散磁共振成像的方法。 该方法可以包括在N个扩散加权方向上对对象执行采样以获取欠采样但互补的k空间数据的步骤,组合来自不同方向的互补数据以获得全采样k空间数据,基于公共信息执行初始重建 在N个扩散加权方向的图像中,并且基于初始图像对所有扩散加权方向中的k空间数据执行联合迭代正则化重建以获得期望的最终图像。 由于在N个扩散加权方向上利用公共信息,可以提高采集效率,并且可以相应地提高所获取的图像的图像分辨率和SNR。

    METHOD FOR DIFFUSION MAGNETIC RESONANCE IMAGING
    2.
    发明申请
    METHOD FOR DIFFUSION MAGNETIC RESONANCE IMAGING 有权
    扩散磁共振成像方法

    公开(公告)号:US20140091793A1

    公开(公告)日:2014-04-03

    申请号:US13676184

    申请日:2012-11-14

    CPC classification number: G01R33/5611 G01R33/4824 G01R33/56341

    Abstract: A method for diffusion magnetic resonance imaging may be provided. The method may comprise steps of performing sampling on an object at N diffusion weighted directions to acquire undersampled but complementary k-space data, combining the complementary data from different directions to obtain a full sampled k-space data, performing initial reconstruction based on common information among images at the N diffusion weighted directions, and performing joint iterative regularized reconstruction to k-space data in all diffusion weighted directions based on the initial images to obtain the desired final images. Due to the utilization of common information at the N diffusion weighted directions, the acquisition efficiency may be enhanced and image resolution and SNR of acquired images may be improved accordingly.

    Abstract translation: 可以提供扩散磁共振成像的方法。 该方法可以包括在N个扩散加权方向上对对象执行采样以获取欠采样但互补的k空间数据的步骤,组合来自不同方向的互补数据以获得全采样k空间数据,基于公共信息执行初始重建 在N个扩散加权方向的图像中,并且基于初始图像对所有扩散加权方向中的k空间数据执行联合迭代正则化重建以获得期望的最终图像。 由于在N个扩散加权方向上利用公共信息,可以提高采集效率,并且可以相应地提高所获取的图像的图像分辨率和SNR。

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