Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_78941ed5a01bfbcd48376e1fdb485b19 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-5611 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-5608 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-56316 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0042 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-56366 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-5601 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7257 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-563 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-56 |
filingDate |
2017-05-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a4bd595bc80e0dc4d88eabba904c6d59 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_363bec4605115035ffab5f5600120e50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_79e2a7258399c295f0f707569387e4bc http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3113ffcdfed180ad9c85080889bc6891 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_167d3e676252d008f9a2f64d09fe9c51 |
publicationDate |
2017-11-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-2017325709-A1 |
titleOfInvention |
Method for improved dynamic contrast enhanced imaging using tracer-kinetic models as constraints |
abstract |
Tracer kinetic models are utilized as temporal constraints for highly under-sampled reconstruction of DCE-MRI data. The method is flexible in handling any TK model, does not rely on tuning of regularization parameters, and in comparison to existing compressed sensing approaches, provides robust mapping of TK parameters at high under-sampling rates. In summary, the method greatly improves the robustness and ease-of-use while providing better quality of TK parameter maps than existing methods. In another embodiment, TK parameter maps are directly reconstructed from highly under-sampled DCE-MRI data. This method provides more accurate TK parameter values and higher under-sampling rates. It does not require tuning parameters and there are not additional intermediate steps. The proposed method greatly improves the robustness and ease-of-use while providing better quality of TK parameter maps than conventional indirect methods. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10226221-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111669591-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113866694-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2019353736-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023222708-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11747421-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2019285712-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019241266-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109765514-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10859654-B2 |
priorityDate |
2016-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |