http://rdf.ncbi.nlm.nih.gov/pubchem/patent/TW-I639134-B

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_fe0aaf2231e08ed07d540afabcb9b7b9
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2200-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N2005-1034
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N2005-109
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2210-32
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T17-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N5-103
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T17-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
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/A61N5-1031
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T17-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-168
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T17-00
filingDate 2016-11-15-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2018-10-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4839e8e59bb939182275f0a352e20e0e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_dcec922fa3523e6e5f40206dab2b0d64
publicationDate 2018-10-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber TW-I639134-B
titleOfInvention Method for establishing geometric model based on medical image
abstract A method for establishing a geometric model based on medical images, comprising: a step of reading a medical image, a step of defining a tissue type by a conversion relationship between the medical image and the tissue type, a step of determining a number of tissue groups, and a relationship between the medical image and the density The conversion relationship defines the steps of tissue density, the steps of creating a 3D coding matrix with tissue and density information, the step of generating a geometric model, and the step of determining whether the medical image voxel is within the ROI boundary. According to the conversion relationship between medical images and tissue types, the number of organizational clusters can be set according to actual needs, and more precise information such as tissue type, element composition and density can be obtained. The geometric model established based on such information can be more matched. Medical imaging, which is closer to the actual human tissue.
priorityDate 2015-11-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID450273598
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID6102360

Total number of triples: 31.