Automated detection of Alzheimer's disease by statistical analysis with positron emission tomography images
US7873405B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 2, 2004 |
| Grant date | Jan 18, 2011 |
| Priority date | — |
| Expiry date | Apr 5, 2026 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B6/00
- WIPO fieldMedical technology
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.