| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_61f88efcda59d7062a4252ecf6886f58
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_1c8cbbf2290b3f3a9988da29598baa2c |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-448
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-5608
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-50 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-44
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-56 |
| filingDate |
2015-04-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_279121683dc20ed0ae77ff7b09ba859f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7e81e8c7ffd8a49c268cb7211a8ef3da
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d9d9784be15f7958030f5d384ba091fe
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b39d2d2c6fafd0c17a8dd5841799134d |
| publicationDate |
2017-03-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2017089995-A1 |
| titleOfInvention |
Magnetic resonance 2d relaxometry reconstruction using partial data |
| abstract |
An approach is presented to recontruct image data for an object using a partial set of magnetic resonance (MR) measurements. A subset of data points in a data space representing an object are selected (e.g. through random sampling) for MR data acquisition. Partial MR data corresponding to the subset of data points is received and used for image reconstruction. The overall speed of image reconstruction can be reduced dramatically by relying on acquisition of data for the subset of data points rather than for all data points in the data space representing the object. Compressive sensing type arguments are used to fill in missing measurements, using a priori knowledge of the structure of the data. A compressed data matrix can be recovered from measurements that form a tight frame. It can be established that these measurements satisfy the restricted isometry property (RIP). The zeroth-order regularization minimization problem can then be solved, for example, using a 2D ILT approach. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108872292-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107766293-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11237238-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023019387-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115021844-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11061094-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11415652-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10977838-B2 |
| priorityDate |
2014-05-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |