公开(公告)号：US20150276906A1

公开(公告)日：2015-10-01

申请号：US14229464

申请日：2014-03-28

Applicant: General Electric Company

Inventor： Florian Wiesinger ,  Dattesh Dayanand Shanbhag ,  Laura Irene Sacolick ,  Sandeep Suryanarayana Kaushik

IPC: G01R33/56 ,  G01R33/48 ,  G01R33/561

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。