Automated manifold surgery : Constructing geometrically accurate and topologically correct models of the human cerebral cortex
- Author
- FISCHL, Bruce1 ; LIU, Arthur1 ; DALE, Anders M1
[1] Nuclear Magnetic Resonance Center, Massachusetts General Hospital, Harvard Medical School, Bldg. 149, 13th Street, Charlestown, MA 02129, United States - Source
IEEE transactions on medical imaging. 2001, Vol 20, Num 1, pp 70-80 ; ref : 51 ref
- CODEN
- ITMID4
- ISSN
- 0278-0062
- Scientific domain
- Biomedical engineering
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse surface Cortex cérébral Homme Imagerie RMN Modèle géométrique Reconstruction image Segmentation Système automatique Système nerveux central Topographie Traitement image Imagerie médicale
- Keyword (en)
- Surface analysis Cerebral cortex Human Nuclear magnetic resonance imaging Geometrical model Image reconstruction Segmentation Automatic system Central nervous system Topography Image processing Medical imagery
- Keyword (es)
- Análisis superficie Corteza cerebral Hombre Imageria RMN Modelo geométrico Reconstrucción imagen Segmentación Sistema automático Sistema nervioso central Topografía Procesamiento imagen Imageneria medical
- Classification
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B24 Investigative techniques, diagnostic techniques (general aspects) / 002B24A Radiodiagnosis. Nmr imagery. Nmr spectrometry / 002B24A06 Nervous system
- Discipline
- Scanning and diagnostic techniques
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 896607
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/42.906426 
https://dx.doi.org/10.1109/42.906426
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