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Automated detection of Alzheimer's disease by statistical analysis with positron emission tomography images

机译:通过使用正电子发射断层扫描图像进行统计分析自动检测阿尔茨海默氏病

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.
机译:一种使用正电子发射断层扫描技术检测阿尔茨海默氏病的方法。使用PET获得正常人群平均值。正常人口平均数是通过对许多正常脑部扫描进行同化获得的。比较非AD图像和AD图像以观察FDG摄取的差异。 PET扫描结果表示为相对摄取强度,并由Brodmann面积索引。通过比较每个布罗德曼区域的每个平均值与正态分布的距离来测试图像。根据正常和可能的阿尔茨海默氏症大脑图像总数的偏差变化绘制接收器工作特性曲线。与正态分布相比,大脑图像中FDG摄取的变化证实了AD的可能性。

著录项

  • 公开/公告号US7873405B2

    专利类型

  • 公开/公告日2011-01-18

    原文格式PDF

  • 申请/专利权人 ZIAD BURBAR;

    申请/专利号US20040858637

  • 发明设计人 ZIAD BURBAR;

    申请日2004-06-02

  • 分类号A61B6/00;

  • 国家 US

  • 入库时间 2022-08-21 18:09:07

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