Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_34d6a279e6cdd624c15f390442c3508e |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-3692 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-5608 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-56572 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-546 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-3852 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-36 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-385 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-54 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-56 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055 |
filingDate |
2021-04-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2022-07-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7db5ab92aca4dfa723460430efac100d http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_16f4e980c788b7b7fb1438837065118f |
publicationDate |
2022-07-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-11385309-B1 |
titleOfInvention |
Systems and methods for actual gradient waveform estimation |
abstract |
The present disclosure provides a system for MRI. The system may obtain MRI scan data of a subject by directing an MRI scanner to perform an MRI scan on the subject according to a first gradient waveform. The system may also determine a second gradient waveform based on the first gradient waveform and a gradient waveform determination model. The gradient waveform determination model may have been trained according to a machine learning algorithm. The system may further generate a target reconstruction image of the subject based on the second gradient waveform and the MRI scan data. |
priorityDate |
2021-04-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |