发明授权
US07873405B2 Automated detection of Alzheimer's disease by statistical analysis with positron emission tomography images 失效
通过正电子发射断层扫描图像的统计分析自动检测阿尔茨海默病

  • 专利标题: Automated detection of Alzheimer's disease by statistical analysis with positron emission tomography images
  • 专利标题(中): 通过正电子发射断层扫描图像的统计分析自动检测阿尔茨海默病
  • 申请号: US10858637
    申请日: 2004-06-02
  • 公开(公告)号: US07873405B2
    公开(公告)日: 2011-01-18
  • 发明人: Ziad Burbar
  • 申请人: Ziad Burbar
  • 申请人地址: US PA Malvern
  • 专利权人: Siemens Medical Solutions USA, Inc.
  • 当前专利权人: Siemens Medical Solutions USA, Inc.
  • 当前专利权人地址: US PA Malvern
  • 代理商 Peter L. Kendall
  • 主分类号: A61B6/00
  • IPC分类号: A61B6/00
Automated detection of Alzheimer's disease by statistical analysis with positron emission tomography images
摘要:
A method for detecting Alzheimer's disease using positron emission tomography. A normal population mean is obtained using PET. The normal population mean is obtained through the assimilation of a number of normal brain scans. Non-AD images and AD images are compared to observe differences in the uptake of FDG. PET scan results are expressed as relative uptake intensities and indexed by Brodmann's areas. An image is tested by comparing the distance of each mean for each Brodmann's area from the normal distribution. A Receiver Operating Characteristic curve is plotted based on the variation of deviation for the total population of both normal and probable Alzheimer's brain images. Variations in FDG uptake in a brain image as compared to the normal distribution confirms the probability of AD.
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