EEG to MRI registration based on global and local similarities of MRI intensity distributions

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 762-770

  Špiclin, Žiga ^a   Hans, Arne ^b   Duffy, Frank H ^b   Warfield, Simon K ^b   Likar, Boštjan ^a   Pernuš, Franjo ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GLOBAL SIMILARITY; INTENSITY DISTRIBUTION; KULLBACK LEIBLER DIVERGENCE; LOCAL SIMILARITY; MR IMAGES; NOVEL METHODS; REGISTRATION ERROR; ROOT MEAN SQUARES; SURFACE ERROR; SURFACE POINTS; SYMMETRY PLANES;

COMPUTER SCIENCE; COST FUNCTIONS; MEDICAL COMPUTING;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; ELECTROENCEPHALOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84864136522     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_91     Document Type: Conference Paper

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