Extraction of the plane of minimal cross-sectional area of the corpus callosum using template-driven segmentation

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

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 17-24

  Changizi, Neda ^a   Hamarneh, Ghassan ^a   Ishaq, Omer ^a,b   Ward, Aaron ^a,c   Tam, Roger ^d  

^a SIMON FRASER UNIVERSITY   (Canada)

^b AIR UNIVERSITY   (Pakistan)

^c ROBARTS RESEARCH INSTITUTE   (Canada)

^d UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL STUDY; CORPUS CALLOSUM; CROSS SECTION; CROSS SECTIONAL AREA; EXTRACTION METHOD; MAGNETIC RESONANCE IMAGES; MEASUREMENT PLANES; MID-SAGITTAL PLANES; NEURAL TRANSMISSION; OPTIMIZATION FRAMEWORK; UPPER BOUND;

MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING;

MEDICAL IMAGING;

ALGORITHM; ANATOMY; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CORPUS CALLOSUM; EVALUATION; EXPERT SYSTEM; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANATOMY, CROSS-SECTIONAL; CORPUS CALLOSUM; EXPERT SYSTEMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84878285076     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_3     Document Type: Conference Paper

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