| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2434070ca24944271b24fc9abb166a80 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-5608
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0014
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T11-005
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T11-008
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-032
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-40 |
| filingDate |
2020-10-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_49774bba2209c52799903d15be152ec2
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_12ec63b5896d3dee1a2f6f3d1028cc26 |
| publicationDate |
2021-05-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-112825271-A |
| titleOfInvention |
System and method for reconstructing medical images using deep neural networks and recursive extraction of measurement data |
| abstract |
The present invention is entitled "Systems and Methods for Reconstructing Medical Images Using Deep Neural Networks and Recursive Extraction of Measurement Data." The present invention provides methods and systems for reconstructing images from measurement data using one or more deep neural networks according to a decimation strategy. In one embodiment, a method of reconstructing an image using measurement data includes: receiving measurement data acquired by an imaging device; selecting a decimation strategy; generating a reconstructed image from the measurement data using the decimation strategy and one or more deep neural networks; and The display device displays the reconstructed image. By decimating the measurement data to form one or more decimated measurement data arrays, the computational complexity of mapping the measurement data to the image data can be reduced from O(N 4 ) (where N is the size of the measurement data) to O(M 4 ) (where M is the size of a single decimated measurement data array), where M < N. |
| priorityDate |
2019-11-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |