http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10753998-B2
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_53c911e75ea09dd4c2705db5306dae77 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-56341 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-563 |
| filingDate | 2019-02-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-08-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7ac5cbd1b1bbfd0acff296867f0cfe83 |
| publicationDate | 2020-08-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | US-10753998-B2 |
| titleOfInvention | Resolution enhancement of diffusion imaging biomarkers in magnetic resonance imaging |
| abstract | Resolution is enhanced for diffusion MR imaging. The tensors modeling the underlying water diffusion in brain tissues are used to interpolate other diffusion tensors, providing higher resolution diffusion biomarker images. Each diffusion tensor is represented by a pair of elements, the one in an ‘orientation space’ and another in a ‘shape space.’ The tensors are iteratively interpolated by averaging the aforementioned elements in separate mathematical spaces. The weighted average of the shape components of the diffusion tensors is computed in closed form, which decreases the runtime. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11313773-B2 |
| priorityDate | 2014-01-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 22.