Segmenting high-frequency intracardiac ultrasound images of myocardium into infarcted, ischemic, and normal regions

IEEE Transactions on Medical Imaging

Volumn 20, Issue 12, 2001, Pages 1373-1383

  Hao, Xiaohui ^a,b   Bruce, Charles J ^b   Pislaru, Cristina ^b   Greenleaf, James F ^a,b  

^a IEEE   (United States)

^b MAYO CLINIC   (United States)

Author keywords

Equal opportunity competence; Geographic similarity; High frequency intracardiac echocardiography image; Seeded region growing method

Indexed keywords

EQUAL OPPORTUNITY COMPETENCE; GEOGRAPHIC SIMILARITY; GRAY LEVEL INTENSITY; INTRACARDIAC ECHOCARDIOGRAPHY; SEEDED REGION GROWING METHOD;

CARDIOLOGY; ECHOCARDIOGRAPHY; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE SEGMENTATION; ULTRASONIC TRANSDUCERS;

MEDICAL IMAGING;

ALGORITHM; ANIMAL; ARTICLE; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DIFFERENTIAL DIAGNOSIS; ECHOGRAPHY; HEART CATHETERIZATION; HEART MUSCLE; HEART MUSCLE ISCHEMIA; HEART VENTRICLE; IMAGE PROCESSING; INSTRUMENTATION; METHODOLOGY; PATHOLOGY; PATHOPHYSIOLOGY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STATISTICS; SWINE;

ALGORITHMS; ANIMALS; DIAGNOSIS, DIFFERENTIAL; HEART CATHETERIZATION; HEART VENTRICLES; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, STATISTICAL; MYOCARDIAL ISCHEMIA; MYOCARDIUM; SENSITIVITY AND SPECIFICITY; SWINE;

EID: 0035544607     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.974932     Document Type: Article

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