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Method and magnetic resonance device for the automated classification of an image property of a magnetic resonance image

机译:用于自动分类磁共振图像的图像特性的方法和磁共振设备

摘要

A method is disclosed for the automated classification of an image property of a magnetic resonance image. In an embodiment, the method includes determining at least the parameters T, T2 and proton density of at least two tissues imaged in the magnetic resonance image or prespecifying at least two sets of at least these parameters; calculating the signal intensity in the center of the k-space for each imaged tissue or each set of parameters; and classifying the image property as a function of the calculated signal intensities. A magnetic resonance device is also disclosed.
机译:公开了一种用于磁共振图像的图像特性的自动分类的方法。在一个实施例中,该方法包括确定在磁共振图像中成像的至少两个组织的至少参数T,TB 2和质子密度,或者预先规定至少两组至少这些参数。计算每个成像组织或每组参数在k空间中心的信号强度;根据所计算的信号强度将图像特性分类。还公开了一种磁共振设备。

著录项

  • 公开/公告号US9465094B2

    专利类型

  • 公开/公告日2016-10-11

    原文格式PDF

  • 申请/专利权人 SIEMENS AKTIENGESELLSCHAFT;

    申请/专利号US201314065566

  • 发明设计人 THORSTEN FEIWEIER;

    申请日2013-10-29

  • 分类号G06K9/00;G01R33/56;G01R33/50;

  • 国家 US

  • 入库时间 2022-08-21 14:35:37

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