Joint bayesian cortical sulci recognition and spatial normalization

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

Volumn 5636 LNCS, Issue , 2009, Pages 176-187

  Perrot, Matthieu ^a,b,d   Rivière, Denis ^a,d   Tucholka, Alan ^a,c,d   Mangin, Jean François ^a,b,d  

^a CEA SACLAY   (France)

^b INSERM   (France)

^c INRIA SACLAY   (France)

^d IFR 49   (France)

Author keywords

Cortical folds labeling; EM; Registration; SPAM; Sulci

Indexed keywords

MEDICAL IMAGING;

GLOBAL RECOGNITION RATE; LOCALIZATION MODELING; REGISTRATION; REGISTRATION TECHNIQUES; RIGID TRANSFORMATIONS; SPAM; SPATIAL NORMALIZATION; SULCI;

IMAGE PROCESSING;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BAYES THEOREM; CEREBRAL CORTEX; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 70349328273     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_15     Document Type: Conference Paper

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