FREE-BREATHING PARAMETER MAPPING WITH HIGH-CONTRAST IMAGE REGISTRATION
    14.
    发明申请
    FREE-BREATHING PARAMETER MAPPING WITH HIGH-CONTRAST IMAGE REGISTRATION 审中-公开
    自由呼吸参数映射与高对比度图像注册

    公开(公告)号:US20170076449A1

    公开(公告)日:2017-03-16

    申请号:US15267371

    申请日:2016-09-16

    CPC classification number: G06T7/38 G06T2207/10088 G06T2207/30048

    Abstract: In one aspect, the disclosed technology relates to a method which, in one example embodiment, includes acquiring magnetic resonance imaging data for a plurality of images of the heart of a subject during free breathing of the subject. The method also includes generating an additional plurality of images with high tissue-blood contrast over the region of interest, and selecting a subset of images from the plurality of images, based upon a pre-determined quality metric of image similarity, to be used for non-rigid image registration. The method also includes aligning the subset of images by non-rigid image registration using a combination of the plurality of images and the additional plurality of images, and creating a parametric map from the aligned images.

    Abstract translation: 一方面,所公开的技术涉及在一个示例性实施例中包括在受试者的自由呼吸期间获取对象的心脏的多个图像的磁共振成像数据的方法。 该方法还包括在感兴趣区域上产生具有高组织 - 血液对比度的附加多个图像,以及基于图像相似度的预定质量度量从多个图像中选择图像的子集,以用于 非刚性图像注册。 该方法还包括使用多个图像和附加多个图像的组合通过非刚性图像配准来对齐图像子集,以及从对准的图像创建参数图。

    Systems and methods for accelerated dynamic magnetic resonance imaging
    15.
    发明授权
    Systems and methods for accelerated dynamic magnetic resonance imaging 有权
    用于加速动态磁共振成像的系统和方法

    公开(公告)号:US09224210B2

    公开(公告)日:2015-12-29

    申请号:US14174748

    申请日:2014-02-06

    Abstract: Some aspects of the present disclosure relate to systems and methods for accelerated dynamic magnetic resonance imaging (MRI). In an example embodiment, a method includes acquiring undersampled MRI data corresponding to a set of images associated with an area of interest of a subject, and separating an image of the set of images into image regions. The method also includes performing motion tracking for each of the image regions, grouping the motion-tracked image regions into clusters, and applying a sparsity transform to the clusters, to form sparsity-exploited, transformed image regions. The method further includes forming a set of merged images from the plurality of sparsity-exploited, transformed image regions, and updating the set of merged images based on data fidelity, to form an updated set of estimated images.

    Abstract translation: 本公开的一些方面涉及用于加速动态磁共振成像(MRI)的系统和方法。 在示例性实施例中,一种方法包括获取对应于与被摄体感兴趣的区域相关联的一组图像的欠采样的MRI数据,以及将该组图像分离成图像区域。 该方法还包括对每个图像区域执行运动跟踪,将运动跟踪的图像区域分组成群集,以及将稀疏变换应用于群集,以形成稀疏性利用的变换图像区域。 所述方法还包括从所述多个经稀疏利用的变换的图像区域形成一组合并的图像,以及基于数据保真度来更新所合并的图像集合,以形成更新的估计图像集。

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