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Regional reconstruction of spatially distributed functions

机译:空间分布功能的区域重建

摘要

The invention addresses the problem of reproducibly estimating statistics in structurally significant regions of interest of medical volumes where the data is acquired as projections of a Cartesian-space distribution. The regions of interest (ROI) are specified to a high resolution using a spatial reference dataset, and these are mapped to the spatial frame of reference of the apparatus on which the data was acquired. This allows the regions to be projected on to the detector loci of the apparatus and ROI activity is estimated directly from measurement projections. The invention also addresses problems associated with poor delineation of ROIs.
机译:本发明解决了在医学数据的结构上重要的重要区域中可再现地估计统计数据的问题,在该区域中,数据被获取为笛卡尔空间分布的投影。使用空间参考数据集将感兴趣的区域(ROI)指定为高分辨率,并将这些区域映射到获取数据的设备的空间参考框架。这允许将区域投影到设备的检测器位点上,并直接从测量投影中估算ROI活性。本发明还解决了与不良的ROI描绘有关的问题。

著录项

  • 公开/公告号US8150112B2

    专利类型

  • 公开/公告日2012-04-03

    原文格式PDF

  • 申请/专利权人 TIMOR KADIR;DAVID SCHOTTLANDER;

    申请/专利号US20070892658

  • 发明设计人 TIMOR KADIR;DAVID SCHOTTLANDER;

    申请日2007-08-24

  • 分类号G06K9/00;

  • 国家 US

  • 入库时间 2022-08-21 17:26:32

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