Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_fe0aaf2231e08ed07d540afabcb9b7b9 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T17-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N2005-1034 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N5-103 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2210-32 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N2005-109 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2200-08 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N5-103 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T17-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N5-1031 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-168 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T17-00 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T17-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T17-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-168 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61N5-10 |
filingDate |
2018-05-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2020-06-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9544d7eaa5c5d0a1f327de39f1c2e173 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4a11c080e22fe7ba27de16f37352f7d4 |
publicationDate |
2020-06-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-10692283-B2 |
titleOfInvention |
Geometric model establishment method based on medical image data |
abstract |
Provided is a geometric model establishment method based on medical image data, including: a step of reading medical image data; a step of defining a tissue type by a conversion relationship between the medical image data and the tissue type; a step of deciding the number of tissue clusters; a step of defining a tissue density by a conversion relationship between the medical image data and the density; a step of establishing 3D encoding matrix with information about the tissue and the density; and a step of generating a geometric model. According to a conversion relationship between medical image data and a tissue type, the number of tissue clusters can be determined according to actual requirements, so that the tissue type, the element composition and the density are provided more accurately, and an established geometric model is better matched to the real situation reflected by the medical image data. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11458336-B2 |
priorityDate |
2015-11-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |