Biomechanically constrained groupwise US to CT registration of the lumbar spine

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 803-810

  Gill, Sean ^a   Mousavi, Parvin ^a   Fichtinger, Gabor ^a   Chen, Elvis ^a   Boisvert, Jonathan ^a,b   Pichora, David ^a   Abolmaesumi, Purang ^a  

^a QUEEN S UNIVERSITY   (Canada)

^b NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMECHANICAL MODEL; COMPUTED TOMOGRAPHY; CT DATA; CT IMAGE; EVOLUTION STRATEGIES; INTENSITY-BASED; INTERVENTIONAL; INTRAOPERATIVE ULTRASOUND; LUMBAR SPINES; OPTIMIZATION STRATEGY; SIMILARITY METRICS;

BIOMECHANICS; COVARIANCE MATRIX; MEDICAL COMPUTING; ULTRASONIC APPLICATIONS;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; LUMBAR VERTEBRA; METHODOLOGY; PHYSIOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LUMBAR VERTEBRAE; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84865783217     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_99     Document Type: Conference Paper

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