Matches in SemOpenAlex for { <https://semopenalex.org/work/W2148101809> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2148101809 abstract "Magnetic resonance angiography (MRA) is currently used for cerebral flowing blood visualization. Many segmentation methods have been proposed for brain vessel segmentation, in order to help analyzing the huge data (generally more than 10/sup 7/ voxels) provided by MRA acquisitions. Recently, a new family of segmentation algorithms, involving high level anatomical knowledge, has been studied. These new algorithms require a way to model and store this knowledge. An efficient and general approach to reach that goal consists in using atlases. In this paper a method is proposed to create vascular atlases of the brain, containing information useful for vessel segmentation purpose. This atlas creation process, designed for phase-contrast MRA (PC-MRA), is composed of four steps: segmentation, quantification, registration and data fusion. It uses a region-growing algorithm for vessel segmentation, a skeleton and vessel size determination algorithm, based on discrete geometry, for determination of quantitative properties, and a topology preserving non-rigid registration method to fuse the information. This method, which has been applied to a 18 PC-MRA database, enables to create vascular atlases containing information on brain vessels position, density, size and orientation. The generated atlases are essentially devoted to segmentation purpose but can also be used for anatomical description or pathology detection." @default.
- W2148101809 created "2016-06-24" @default.
- W2148101809 creator A5017148843 @default.
- W2148101809 creator A5024971334 @default.
- W2148101809 creator A5034599588 @default.
- W2148101809 creator A5037096002 @default.
- W2148101809 creator A5062164791 @default.
- W2148101809 date "2005-07-27" @default.
- W2148101809 modified "2023-10-06" @default.
- W2148101809 title "Cerebral Vascular Atlas Generation for Anatomical Knowledge Modeling and Segmentation Purpose" @default.
- W2148101809 cites W125718686 @default.
- W2148101809 cites W1561190612 @default.
- W2148101809 cites W1599816163 @default.
- W2148101809 cites W198263169 @default.
- W2148101809 cites W1986822897 @default.
- W2148101809 cites W2014837906 @default.
- W2148101809 cites W2020624034 @default.
- W2148101809 cites W2051939371 @default.
- W2148101809 cites W2052971935 @default.
- W2148101809 cites W2112411253 @default.
- W2148101809 cites W2142777766 @default.
- W2148101809 cites W2158820968 @default.
- W2148101809 cites W2167648425 @default.
- W2148101809 doi "https://doi.org/10.1109/cvpr.2005.97" @default.
- W2148101809 hasPublicationYear "2005" @default.
- W2148101809 type Work @default.
- W2148101809 sameAs 2148101809 @default.
- W2148101809 citedByCount "2" @default.
- W2148101809 crossrefType "proceedings-article" @default.
- W2148101809 hasAuthorship W2148101809A5017148843 @default.
- W2148101809 hasAuthorship W2148101809A5024971334 @default.
- W2148101809 hasAuthorship W2148101809A5034599588 @default.
- W2148101809 hasAuthorship W2148101809A5037096002 @default.
- W2148101809 hasAuthorship W2148101809A5062164791 @default.
- W2148101809 hasBestOaLocation W21481018092 @default.
- W2148101809 hasConcept C105702510 @default.
- W2148101809 hasConcept C124504099 @default.
- W2148101809 hasConcept C153180895 @default.
- W2148101809 hasConcept C154945302 @default.
- W2148101809 hasConcept C2776673561 @default.
- W2148101809 hasConcept C2780972224 @default.
- W2148101809 hasConcept C31972630 @default.
- W2148101809 hasConcept C36464697 @default.
- W2148101809 hasConcept C41008148 @default.
- W2148101809 hasConcept C54170458 @default.
- W2148101809 hasConcept C71924100 @default.
- W2148101809 hasConcept C89600930 @default.
- W2148101809 hasConceptScore W2148101809C105702510 @default.
- W2148101809 hasConceptScore W2148101809C124504099 @default.
- W2148101809 hasConceptScore W2148101809C153180895 @default.
- W2148101809 hasConceptScore W2148101809C154945302 @default.
- W2148101809 hasConceptScore W2148101809C2776673561 @default.
- W2148101809 hasConceptScore W2148101809C2780972224 @default.
- W2148101809 hasConceptScore W2148101809C31972630 @default.
- W2148101809 hasConceptScore W2148101809C36464697 @default.
- W2148101809 hasConceptScore W2148101809C41008148 @default.
- W2148101809 hasConceptScore W2148101809C54170458 @default.
- W2148101809 hasConceptScore W2148101809C71924100 @default.
- W2148101809 hasConceptScore W2148101809C89600930 @default.
- W2148101809 hasLocation W21481018091 @default.
- W2148101809 hasLocation W21481018092 @default.
- W2148101809 hasLocation W21481018093 @default.
- W2148101809 hasOpenAccess W2148101809 @default.
- W2148101809 hasPrimaryLocation W21481018091 @default.
- W2148101809 hasRelatedWork W1523541591 @default.
- W2148101809 hasRelatedWork W1524478684 @default.
- W2148101809 hasRelatedWork W1588899353 @default.
- W2148101809 hasRelatedWork W1869262883 @default.
- W2148101809 hasRelatedWork W1967068856 @default.
- W2148101809 hasRelatedWork W1996702997 @default.
- W2148101809 hasRelatedWork W2012519212 @default.
- W2148101809 hasRelatedWork W2592984741 @default.
- W2148101809 hasRelatedWork W3214912135 @default.
- W2148101809 hasRelatedWork W4249039539 @default.
- W2148101809 isParatext "false" @default.
- W2148101809 isRetracted "false" @default.
- W2148101809 magId "2148101809" @default.
- W2148101809 workType "article" @default.