Invention Grant
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
- Patent Title: Automated detection of Alzheimer's disease by statistical analysis with positron emission tomography images
- Patent Title (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
-
Application No.: US10858637Application Date: 2004-06-02
-
Publication No.: US07873405B2Publication Date: 2011-01-18
- Inventor: Ziad Burbar
- Applicant: Ziad Burbar
- Applicant Address: US PA Malvern
- Assignee: Siemens Medical Solutions USA, Inc.
- Current Assignee: Siemens Medical Solutions USA, Inc.
- Current Assignee Address: US PA Malvern
- Agent Peter L. Kendall
- Main IPC: A61B6/00
- IPC: A61B6/00

Abstract:
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.
Public/Granted literature
Information query