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    • 4. 发明授权
    • Regional reconstruction of spatially distributed functions
    • 空间分布函数的区域重建
    • US08150112B2
    • 2012-04-03
    • US11892658
    • 2007-08-24
    • Timor KadirDavid Schottlander
    • Timor KadirDavid Schottlander
    • G06K9/00
    • G06T11/006A61B6/037
    • 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.
    • 本发明解决了在将数据作为笛卡尔 - 空间分布的投影获取的医疗卷的结构上有意义的感兴趣区域中的可重复估计统计量的问题。 感兴趣区域(ROI)使用空间参考数据集被指定为高分辨率,并将它们映射到获取数据的设备的空间参考系。 这允许将区域投影到设备的检测器位置上,并且直接从测量投影估计ROI活动。 本发明还解决了与ROI的划分不良相关的问题。