Towards realtime multimodal fusion for image-guided interventions using self-similarities

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

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 187-194

  Heinrich, Mattias Paul ^a,b   Jenkinson, Mark ^b   Papiez, Bartlomiej W ^a   Brady, Sir Michael ^a   Schnabel, Julia A ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

discrete optimisation; multimodal similarity; neurosurgery

Indexed keywords

DISCRETE OPTIMISATION; EFFICIENT OPTIMISATION; IMAGE-GUIDED INTERVENTION; MULTI-MODAL; MULTIMODAL REGISTRATION; SMOOTH TRANSFORMATION; STRUCTURAL IMAGE REPRESENTATION; TIME SENSITIVE APPLICATIONS;

IMAGE REGISTRATION; IMAGE RETRIEVAL; NEUROSURGERY; THREE DIMENSIONAL;

OPTIMIZATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED SURGERY; COMPUTER SYSTEM; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MULTIMODAL IMAGING; NEUROSURGERY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY;

ALGORITHMS; BRAIN NEOPLASMS; COMPUTER SYSTEMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MULTIMODAL IMAGING; NEUROSURGICAL PROCEDURES; PATTERN RECOGNITION, AUTOMATED; SUBTRACTION TECHNIQUE; SURGERY, COMPUTER-ASSISTED;

EID: 84894610940     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_24     Document Type: Conference Paper

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