MR diffusion-based inference of a fiber bundle model from a population of subjects

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3749 LNCS, Issue , 2005, Pages 196-204

  El Kouby, V ^a,c   Cointepas, Y ^a,c   Poupon, C ^a,c   Riviere D ^a,c   Golestani, N ^a,b   Poline, J B ^d   Le Bihan, D ^a,c   Mangin, J F ^a,c  

^a DIF   (France)

^b INSERM U562 Cognitive Neuro Imaging ^*  (France)

^c Institut Fédératif de Recherche 49 Imagerie Neurofonctionnelle   (France)

^d NONE

Author keywords

[No Author keywords available]

Indexed keywords

DIFFUSION; IMAGE ANALYSIS; IMAGING SYSTEMS; INFERENCE ENGINES; TRACKING (POSITION);

DIFFUSION-BASED INFERENCE; FIBER BUNDLE MODEL; MR DIFFUSION IMAGING; TRACKING ALGORITHM;

MAGNETIC RESONANCE IMAGING;

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

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

EID: 33744823314     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_25     Document Type: Conference Paper

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