Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_75b86e50a7529f6158517db14a0b81df |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30008 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-5247 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-5608 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10116 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2211-408 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-505 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N5-1039 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N5-103 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-5211 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-4812 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-037 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61N5-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B6-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-48 |
filingDate |
2017-02-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_89157a0fbc9183db6ca57c9e1ed93ae2 |
publicationDate |
2017-09-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
WO-2017153122-A1 |
titleOfInvention |
Synthetic computed tomography imaging |
abstract |
The invention provides for a computer program product for calculating synthetic CT image (124). The computer program product comprises machine executable instructions (130) for execution by a processor (104). Execution of the machine executable instructions causes the processor to: receive (200) bone mineralization density data (114); receive (202) a magnetic resonance image (116) of a region of interest (309); calculate (204) an image segmentation (118) by segmenting the magnetic resonance image into a set of tissue types, wherein the set of tissue types comprises a cortical bone segmentation; calculate (206) a cortical bone Hounsfield value (120) using the bone mineralization density data; calculate (208) a Hounsfield unit mapping (122) by assigning at least one Hounsfield unit value to each of the set of tissue types in the image segmentation, wherein the cortical bone segmentation is assigned the cortical bone Hounsfield value; and calculate (210) the synthetic CT image using the Hounsfield unit mapping. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-4193927-A1 |
priorityDate |
2016-03-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |