Probabilistic tractography using Q-ball modeling and particle filtering

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

Volumn 6892 LNCS, Issue PART 2, 2011, Pages 209-216

  Pontabry, Julien ^a   Rousseau, François ^a  

^a UNIVERSITÉ DE STRASBOURG   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN CONNECTIVITY; DIFFUSION DATA; DIFFUSION MODEL; DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING; HIGH-ORDER; IN-VIVO; ORIENTATION INFORMATION; PARTICLE FILTERING; TRACKING ALGORITHM; TRACKING PROCESS; TRACTOGRAPHY; WHITE MATTER FIBERS;

ALGORITHMS; DIFFUSION; MEDICAL COMPUTING; MEDICAL IMAGING; NONLINEAR FILTERING; TENSORS;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ANISOTROPY; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; DIFFUSION; DIFFUSION TENSOR IMAGING; DIFFUSION WEIGHTED IMAGING; HUMAN; IMAGE QUALITY; METHODOLOGY; PATHOLOGY; PROBABILITY; STATISTICAL MODEL;

ALGORITHMS; ANISOTROPY; BRAIN; BRAIN MAPPING; DIFFUSION; DIFFUSION MAGNETIC RESONANCE IMAGING; DIFFUSION TENSOR IMAGING; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; PROBABILITY;

EID: 82255196352     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23629-7_26     Document Type: Conference Paper

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