http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-1771113-A2

Outgoing Links

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ec24cf853e108d093de2fd7fa37c5d9c
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-00
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B6-00
filingDate 2005-06-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fe228fef5980e3a0ed09979c1401ee16
publicationDate 2007-04-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber EP-1771113-A2
titleOfInvention Automated detection of alzheimer's disease by statistical analysis with positron emission tomography images
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.
priorityDate 2004-06-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

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isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID226399674
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID53716604

Total number of triples: 14.