| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2a7ebd2ce5ef7e691bd44c48a88a2bfc |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-56341
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/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-56
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-54 |
| filingDate |
2020-03-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1e30c0556749025642796b9292f5aaeb
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f7ed430b80a00382ab67bdc4db9206f8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e96b9bd4373475aa9112da9094555369 |
| publicationDate |
2020-10-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2020198582-A1 |
| titleOfInvention |
Fast diffusion tensor mri using deep learning |
| abstract |
Higher quality diffusion metrics and/or diffusion-weighted images are generated from lower quality input diffusion-weighted images using a suitably trained neural network (or other machine learning algorithm). High-fidelity scalar and orientational diffusion metrics can be extracted using a theoretical minimum of a single non-diffusion-weighted image and six diffusion-weighted images, achieved with data-driven supervised deep learning. As an example, a deep convolutional neural network ("CNN") is used to map the input non-diffusion-weighted image and diffusion-weighted images sampled along six optimized diffusion-encoding directions to the residuals between the input and output high-quality non-diffusion-weighted image and diffusion-weighted images, which enables residual learning to boost the performance of CNN and full tensor fitting to generate any scalar and orientational diffusion metrics. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/GB-2588513-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/GB-2588513-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/GB-2591671-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/GB-2591671-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114449128-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114449128-B |
| priorityDate |
2019-03-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |