Optimized region finding and edge detection of knee cartilage surfaces from magnetic resonance images

Annals of Biomedical Engineering

Volumn 31, Issue 3, 2003, Pages 336-345

  Angelini, Elsa D ^a   Ciaccio, Edward J ^a,b  

^a Columbia University ^*  (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Cartilage; Karhunen Lo ve transformation; Magnetic resonance imaging

Indexed keywords

COMPUTER SIMULATION; EDGE DETECTION; FEATURE EXTRACTION; IMAGE SEGMENTATION; JOINTS (ANATOMY); MAGNETIC RESONANCE IMAGING; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION;

AUTOMATED SEGMENTATION APPROACH; KARHUNEN-LOEVE TRANSFORMATION; KNEE CARTILAGE;

CARTILAGE;

ARTICLE; ARTICULAR CARTILAGE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FEMUR; HUMAN; IMAGE ENHANCEMENT; KNEE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; OBSERVER VARIATION; OSTEOARTHRITIS; PATELLA; PATHOLOGY; PREDICTION AND FORECASTING; QUALITY CONTROL; TIBIA; VALIDATION STUDY;

CARTILAGE, ARTICULAR; FEMUR; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KNEE JOINT; MAGNETIC RESONANCE IMAGING; OBSERVER VARIATION; OSTEOARTHRITIS; PATELLA; PATTERN RECOGNITION, AUTOMATED; PREDICTIVE VALUE OF TESTS; QUALITY CONTROL; TIBIA;

EID: 0037255870     PISSN: 00906964     EISSN: None     Source Type: Journal    
DOI: 10.1114/1.1554922     Document Type: Article

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