http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2014144019-A1
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_676b80da7ac92b84e447a83fb1630ae1 |
classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20016 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2211-428 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20116 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30061 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30024 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2200-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20076 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-344 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-35 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-33 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T11-003 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T15-08 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04N5-74 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T17-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B6-00 |
filingDate | 2014-03-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2e4dfd3ffbe89b83377afd731cb1ed37 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3bdb4e9cea24c76de42b8b1771220713 |
publicationDate | 2014-09-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | WO-2014144019-A1 |
titleOfInvention | Methods, systems, and computer readable media for real-time 2d/3d deformable registration using metric learning |
abstract | Methods, systems, and computer readable media for real-time 2D/3D deformable registration using metric learning are disclosed. According to one aspect, a method for real-time 2D/3D deformable registration using metric learning includes creating a catalogue of simulated 2D projection images based on a reference 3D image and a shape space of 3D deformations, where each entry in the catalogue is created by: applying to the reference 3D image a set of deformation parameters from the shape space of deformations; simulating a 2D projection of the result; associating the simulated 2D projection image with the deformation parameters used to create the simulated 2D projection image; and storing the simulated 2D projection image and associated deformation parameters in the catalogue. The method also includes receiving a 2D image, and, in response to receiving the 2D image: calculating a value of distance between the received 2D image and a simulated 2D projection image for each of the simulated 2D projection images in the catalogue; using the calculated distances to calculate weighting factors to be applied to the deformation parameters of each of the simulated 2D projection images in the catalogue; and calculating deformation parameters for the received 2D image based on the weighted deformation parameters in the catalogue. The calculated deformation parameters are then used to deform a 3D volume of interest to produce a 3D volume that represents the 3D layout of the tissue at the time that the received 2D image was acquired. |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113720244-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-9886760-B2 |
priorityDate | 2013-03-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 37.