A fast and robust graph-based approach for boundary estimation of fiber bundles relying on fractional anisotropy maps

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 4016-4019

  Bauer, M H A ^a   Egger, J ^a   O'Donnell, T ^b   Barbieri, S ^c   Klein, J ^c   Freisleben, B ^a   Hahn, H K ^c   Nimsky, C ^a  

^a PHILIPPS UNIVERSITY MARBURG   (Germany)

^b SIEMENS CORPORATE RESEARCH   (United States)

^c FRAUNHOFER MEVIS   (Germany)

Author keywords

DTI; Fiber tracking; Segmentation

Indexed keywords

BOUNDARY ESTIMATION; CENTERLINES; DIFFUSION TENSOR IMAGING; DIRECTED GRAPHS; DTI; FIBER BUNDLES; FIBER TRACKING; FIBER TRACTS; FRACTIONAL ANISOTROPY; GAIN INFORMATION; GRAPH-BASED; HUMAN BRAIN; MIN-CUT; NON-INVASIVE IMAGING; OPTIMAL BOUNDARY; REGIONS OF INTEREST; ROBUST GRAPHS; SEGMENTATION; TRACKING ALGORITHM; WATER DIFFUSION; WHITE MATTER TRACTS;

ESTIMATION; FIBERS; MAGNETIC RESONANCE IMAGING; NEUROSURGERY; PATTERN RECOGNITION;

TENSORS;

EID: 78149485141     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.1155     Document Type: Conference Paper

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