| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_45192bde5bcb25e9fe7df18f6f93973c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e3a0d6297082cc4413878148c761e49b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_1e0f7268aed9a3a71da2f8dc65a23b55
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f59a192d2a3f824219d740484b59e963 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4064
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30016
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20021 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-48
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4088 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 |
| filingDate |
2009-02-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6831d1c9cbef54dbad52f749391a8558
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f5283bc2592aca46297f60d472045b6e |
| publicationDate |
2010-05-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2010052731-A1 |
| titleOfInvention |
A ready automated screening, diagnosis & classification technique for alzheimer's disease using magnetic resonance imaging signal from ventricular zone contour of brain |
| abstract |
The invention relates to a fully automated screening, diagnosis and classification technique for Alzheimer's disease using magnetic resonance imaging signals from the ventricular zone contour of the brain to get a fundamental index of brain deterioration comprising the steps: - obtaining a gray scale MRI image of the brain region; - applying a contour edge-detecting algorithm to the image; - employing a grid covering method for calculating a first order metric index of ventricular zone contour; - superimposing metric square grids of increasing edge length to the binary contour image and counting the metric grid squares; - plotting the logs of metric grid squares against the logs of edge lengths, wherein the gradient of the plot is the linear topological metric index. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110298479-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110298479-A |
| priorityDate |
2008-11-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |