| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30101
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10096
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/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-002
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T11-005 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T11-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate |
2020-09-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_10a79d241f6aa2e3fde850f3b553bdd6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_43f12893799d57db76ceaad5b7b176e4
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_91d4e2f152e1a9cd2e8a1fb5e79adfdf |
| publicationDate |
2020-12-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-112053414-A |
| titleOfInvention |
A method for rapid extraction of pharmacokinetic parameters from dynamic contrast-enhanced magnetic resonance imaging data |
| abstract |
The invention discloses a method for rapidly extracting pharmacokinetic parameters from dynamic contrast-enhanced magnetic resonance imaging data: collecting quantitative T1 imaging data, and using DCE - MRI sequence to collect subject's DCE-MRI data as an experiment DCE‑MRI data; and calculate the intravascular contrast agent concentration change curve C p (t) according to the experimental DCE‑MRI data, and use the least squares method to fit the eTofts model to obtain the pharmacokinetic parameters; According to C p (t) Perform data enhancement: use the random linear combination method to obtain simulated angiographic contrast agent concentration data, and obtain simulated DCE-MRI data through the eTofts model; build a dual-stream convolutional neural network Dual-CNN model, and initialize model parameters; dual-stream volume Integrative neural network model training; use the trained Dual‑CNN model to extract pharmacokinetic parameters. The method provided by the present invention can significantly improve the speed of extracting pharmacokinetic parameters from DCE-MRI data, and accelerate the speed of reconstructing tissue physiological parameter maps. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112213346-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114088901-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023107518-A1 |
| priorityDate |
2020-09-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |