DTI segmentation by statistical surface evolution

IEEE Transactions on Medical Imaging

Volumn 25, Issue 6, 2006, Pages 685-700

  Lenglet, Christophe ^a,b   Rousson, Mikaël ^c   Deriche, Rachid ^b  

^a IEEE   (France)

^b INRIA   (France)

^c SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Diffusion tensor MRI; Fisher information matrix; Information geometry; Kullback Leibler divergence; Level set; Probability metric; Riemannian geometry; Segmentation

Indexed keywords

DIFFUSION TENSOR MRI; FISHER INFORMATION MATRIX; INFORMATION GEOMETRY; LEVEL-SET; PROBABILITY METRIC; RIEMANNIAN GEOMETRY;

BRAIN; COMPUTATIONAL GEOMETRY; DIFFUSION; IMAGE SEGMENTATION; INFORMATION ANALYSIS; MAGNETIC RESONANCE IMAGING; MATRIX ALGEBRA; STATISTICAL METHODS; TENSORS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; DIFFUSION WEIGHTED IMAGING; EVALUATION; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33746641405     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.873299     Document Type: Article

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