Registration of a statistical shape model of the lumbar spine to 3D ultrasound images

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 68-75

  Khallaghi, Siavash ^a   Mousavi, Parvin ^a   Gong, Ren Hui ^a   Gill, Sean ^a   Boisvert, Jonathan ^b   Fichtinger, Gabor ^a   Pichora, David ^c   Borschneck, Dan ^c   Abolmaesumi, Purang ^d  

^a QUEEN S UNIVERSITY   (Canada)

^b NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^c KINGSTON GENERAL HOSPITAL   (Canada)

^d UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

3-D ULTRASOUND; ANATOMICAL MODELS; CT AND ULTRASOUND; CT IMAGE; FIDUCIAL MARKER; LUMBAR SPINES; MAIN MODE; NEEDLE PLACEMENT; RELATIVE POSE; SHAPE MODEL; SPINAL NEEDLES; STATISTICAL SHAPE MODEL; TARGET REGISTRATION ERRORS; TRUTH DATA; ULTRASOUND DATA; ULTRASOUND IMAGES;

COMPUTERIZED TOMOGRAPHY; CONCURRENT ENGINEERING; JOB ANALYSIS; MEDICAL COMPUTING; MEDICAL IMAGING; NEEDLES; RAPID PROTOTYPING; ULTRASONICS;

THREE DIMENSIONAL;

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

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

EID: 84866559110     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_9     Document Type: Conference Paper

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