Hierarchical multimodal image registration based on adaptive local mutual information

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 643-651

  De Nigris, Dante ^a   Mercier, Laurence ^a   Del Maestro, Rolando ^b   Louis Collins, D ^a   Arbel, Tal ^a  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

image guided neurosurgery; multimodal image registration

Indexed keywords

BRAIN MRI; COMPUTATIONALLY EFFICIENT; GAUSSIANS; GRADIENT ORIENTATIONS; HIERARCHICAL REGISTRATION; IMAGE-GUIDED NEUROSURGERY; INTRA-OPERATIVE; LOCAL APPROXIMATION; MULTI-MODAL; MULTIMODAL IMAGE REGISTRATION; MULTIMODAL REGISTRATION; MUTUAL INFORMATIONS; NON-RIGID; PIXEL SELECTION; SIMILARITY METRICS; STANDARD METHOD;

IMAGE REGISTRATION; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; NEUROSURGERY;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; ECHOENCEPHALOGRAPHY; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

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

EID: 84863706674     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_79     Document Type: Conference Paper

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