http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-1636753-A1

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classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20092
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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-149
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T17-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T19-20
filingDate 2004-06-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f6693c5688559f34e66d81eca5f741a7
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cd1aa44edc0ddff3658b037d1d458704
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2347523bac0580f7cc8fd40a74184043
publicationDate 2006-03-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber EP-1636753-A1
titleOfInvention 3d image segmentation
abstract A delineation of a structure of interest can be performed by fitting 3D deformable models, for example, represented by polygonal measures, to the boundaries of the structure of interest. The deformable model fitting process is guided by minimization of the sum of an external energy, based on image feature information, which attracts the mesh to the organ boundaries and an internal energy, which preserves the consistent shape of the mesh. A frequent problem is that the images do not contain sufficient reliable image feature information, such as image gradients, to attract the mesh. According to the present invention, manually drawn attractors in the form of complete or partial contours corresponding to boundaries of the structure of interest are placed into the images which do not contain sufficient feature information. These attractors may easily be discriminated by a subsequent segmentation process. Due to this, advantageously, a 3D deformable model can be fitted to structures of interest in images with poor contrast, noise or image artifacts.
priorityDate 2003-06-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 25.