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Data Driven Methods For Deriving Amplitude-Based Motion Characterizations In PET Imaging

机译:数据驱动方法在PET成像中得出基于幅度的运动特征

摘要

Various systems and methods for generating images are provided. In some embodiments, the techniques can include acquiring a medical image and an associated motion characterization. The motion characterization can then be used to generate a plurality of gated image data sets, sorted by phase in the motion cycle. A new amplitude-based motion characterization curve is derived from the association of phases with amplitude-based characteristics in the phase gated images. This newly derived amplitude-based motion characterization curve can then be used to re-sort data according to amplitude-based gating techniques known in the field or with data driven optimization techniques.
机译:提供了用于生成图像的各种系统和方法。在一些实施例中,该技术可以包括获取医学图像和相关联的运动表征。然后,运动表征可用于生成多个门控图像数据集,并在运动周期中按相位排序。从相位与相位门控图像中具有基于振幅的特征的相位的关联中得出新的基于振幅的运动特征曲线。然后,可以根据在领域中已知的基于幅度的选通技术或通过数据驱动的优化技术,使用该新得出的基于幅度的运动特征曲线对数据进行重新排序。

著录项

  • 公开/公告号US2019000408A1

    专利类型

  • 公开/公告日2019-01-03

    原文格式PDF

  • 申请/专利号US201615753586

  • 发明设计人 ADAM KESNER;

    申请日2016-08-26

  • 分类号A61B6;A61B6/03;A61B5/055;A61B8/08;G06K9/62;G06T7/73;G06T7/246;G01R33/563;G01R33/565;

  • 国家 US

  • 入库时间 2022-08-21 12:07:17

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