Robust automatic knee MR slice positioning through redundant and hierarchical anatomy detection

IEEE Transactions on Medical Imaging

Volumn 30, Issue 12, 2011, Pages 2087-2100

  Zhan, Yiqiang ^a   Dewan, Maneesh ^a   Harder, Martin ^b   Krishnan, Arun ^a   Zhou, Xiang Sean ^a  

^a SYNGO Division   (United States)

^b Siemens Healthcare   (Germany)

Author keywords

Computer aided detection; knee; magnetic resonance imaging; medical image analysis; pattern recognition; slice positioning

Indexed keywords

ALIGNMENT ACCURACY; COMPUTER AIDED DETECTION; DATA SETS; HIERARCHICAL LEARNING; HIGH ROBUSTNESS; IMAGING ARTIFACTS; IMAGING MODALITY; KNEE; MEDICAL IMAGE ANALYSIS; MR IMAGING; PERFORMANCE REQUIREMENTS; REPRODUCIBILITIES; SLICE GROUP; SLICE POSITIONING; SPATIAL CONFIGURATION; STATE-OF-THE-ART METHODS;

ALIGNMENT; DETECTORS; IMAGE QUALITY; MEDICAL IMAGING; PATTERN RECOGNITION;

MAGNETIC RESONANCE IMAGING;

ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FACTUAL DATABASE; HISTOLOGY; HUMAN; KNEE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY;

COMPUTER SIMULATION; DATABASES, FACTUAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KNEE; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 82455204779     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2011.2162634     Document Type: Article

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