RAPID 3D DYNAMIC ARTERIAL SPIN LABELING WITH A SPARSE MODEL-BASED IMAGE RECONSTRUCTION
    4.
    发明申请
    RAPID 3D DYNAMIC ARTERIAL SPIN LABELING WITH A SPARSE MODEL-BASED IMAGE RECONSTRUCTION 审中-公开
    基于模型的图像重建的快速3D动态文字旋转标签

    公开(公告)号:US20170035319A1

    公开(公告)日:2017-02-09

    申请号:US15227825

    申请日:2016-08-03

    Inventor: Li Zhao Craig Meyer

    Abstract: Methods, systems, and computer-readable media for rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction are disclosed. In one embodiment, a method includes acquiring magnetic resonance data associated with an area of interest of a subject. The magnetic resonance data includes associated with arterial spin labeling (ASL) of the area of interest. The method also includes performing image reconstruction on the acquired resonance data. The image reconstruction includes compressed sensing enforcing a model-based sparsity constraint, where the model-based sparsity constraint is based on an ASL signal prototype dictionary.

    Abstract translation: 公开了用于基于稀疏模型的图像重建的用于快速3D动态动脉自旋标记的方法,系统和计算机可读介质。 在一个实施例中,一种方法包括获取与受试者的感兴趣区域相关联的磁共振数据。 磁共振数据包括与感兴趣区域的动脉自旋标记(ASL)相关联。 该方法还包括对获取的共振数据执行图像重构。 图像重构包括强制基于模型的稀疏约束的压缩感知,其中基于模型的稀疏约束基于ASL信号原型字典。

    SYSTEMS AND METHODS FOR IMAGE RECONSTRUCTION USING VARIABLE-DENSITY SPIRAL TRAJECTORY
    6.
    发明申请
    SYSTEMS AND METHODS FOR IMAGE RECONSTRUCTION USING VARIABLE-DENSITY SPIRAL TRAJECTORY 有权
    使用可变密度螺旋纹理进行图像重建的系统和方法

    公开(公告)号:US20150316630A1

    公开(公告)日:2015-11-05

    申请号:US14677877

    申请日:2015-04-02

    CPC classification number: G01R33/5611 G01R33/4818 G01R33/4824

    Abstract: Some aspects of the present disclosure relate image reconstruction using a variable-density spiral trajectory. An exemplary method for image reconstruction includes acquiring MR data, which includes determining a multi-level undersampling pattern based on sampling distance and probability functions, and determining a desired variable-density spiral trajectory based on the undersampling pattern. Acquiring the MR data also includes generating spiral gradient waveforms based on the desired trajectory, and tracing a variable-density spiral trajectory using the spiral gradient waveforms. After tracing, the MR data can be sub-sampled based on the variable-density spiral trajectory. The method also includes reconstructing one or more images based on the acquired MR data.

    Abstract translation: 本公开的一些方面涉及使用可变密度螺旋轨迹的图像重建。 用于图像重建的示例性方法包括获取MR数据,其包括基于采样距离和概率函数来确定多级欠采样模式,以及基于所述欠采样模式来确定期望的可变密度螺旋轨迹。 获取MR数据还包括基于期望的轨迹生成螺旋梯度波形,以及使用螺旋梯度波形跟踪可变密度螺旋轨迹。 跟踪后,MR数据可以基于可变密度螺旋轨迹进行子采样。 该方法还包括基于获取的MR数据重建一个或多个图像。

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