Method and system for improved classification of constituent materials

    公开(公告)号:US10436858B2

    公开(公告)日:2019-10-08

    申请号:US15532680

    申请日:2015-12-02

    Abstract: An imaging system and method are disclosed. An MR image and measured B0 field map of a target volume in a subject are reconstructed, where the MR image includes one or more bright and/or dark regions. One or more distinctive constituent materials corresponding to the bright regions are identified. Each dark region is iteratively labeled as one or more ambiguous constituent materials. Susceptibility values corresponding to each distinctive and iteratively labeled ambiguous constituent material is assigned. A simulated B0 field map is iteratively generated based on the assigned susceptibility values. A similarity metric is determined between the measured and simulated B0 field maps. Constituent materials are identified in the dark regions based on the similarity metric to ascertain corresponding susceptibility values. The MRI data is corrected based on the assigned and ascertained susceptibility values. A diagnostic assessment of the target volume is determined based on the corrected MRI data.

    Systems and methods for magnetic resonance bone depiction
    10.
    发明授权
    Systems and methods for magnetic resonance bone depiction 有权
    用于磁共振骨骼描绘的系统和方法

    公开(公告)号:US09594139B2

    公开(公告)日:2017-03-14

    申请号:US14229464

    申请日:2014-03-28

    CPC classification number: G01R33/5608 G01R33/4816 G01R33/4824

    Abstract: Systems and methods of classifying component tissues of magnetic resonance images, where the method includes performing a proton density weighted, short echo-time magnetic resonance imaging measurement over a first volume field-of-view region of interest (ROI), repeating a series refining the first volume field-of-view ROI into a plurality of subsequent smaller ROI volumes having respective smaller resolutions, reconstructing a complex image from the plurality of magnetic resonance imaging measurements, performing a bias correction on at least one of the plurality of subsequent smaller ROI volumes, and classifying the ROI volumes by tissue type based on the bias-corrected image signal, wherein at least one tissue type is bone. A non-transitory medium containing processor instructions and a system are disclosed.

    Abstract translation: 分类磁共振图像的组分组织的系统和方法,其中该方法包括在第一体积视野区域(ROI)上执行质子密度加权的短回波 - 时间磁共振成像测量,重复串联精炼 将第一体积视野ROI转换成具有各自较小分辨率的多个随后较小的ROI卷,从所述多个磁共振成像测量中重建复数图像,对所述多个随后的较小ROI中的至少一个执行偏置校正 体积,并且基于偏差校正图像信号通过组织类型对ROI体积进行分类,其中至少一种组织类型是骨骼。 公开了一种包含处理器指令和系统的非暂时介质。

Patent Agency Ranking