Evaluation of four probability distribution models for speckle in clinical cardiac ultrasound images

IEEE Transactions on Medical Imaging

Volumn 25, Issue 11, 2006, Pages 1483-1491

  Tao, Zhong ^b   Tagare, Hemant D ^a,c   Beaty, James D ^a,d  

^a IEEE   (United States)

^b R2 Technology Inc   (United States)

^c YALE UNIVERSITY   (United States)

^d JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Cardiac image analysis; Speckle probability density; Ultrasound segmentation

Indexed keywords

CARDIAC IMAGE ANALYSIS; CLINICAL CARDIAC ULTRASOUND IMAGES; SPECKLE PROBABILITY DENSITY; ULTRASOUND SEGMENTATION;

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; IMAGE SEGMENTATION; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; ULTRASONICS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFACT; AUDIOVISUAL EQUIPMENT; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ECHOCARDIOGRAPHY; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; ARTIFACTS; COMPUTER SIMULATION; ECHOCARDIOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, ANATOMIC; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTIONS;

EID: 33750817554     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.881376     Document Type: Article

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