Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model

Medical Image Analysis

Volumn 15, Issue 3, 2011, Pages 283-301

  Cordero Grande, L ^a   Vegas Sanchez Ferrero G ^a   Casaseca de la Higuera, P ^a   Alberto San Roman Calvar J ^b   Revilla Orodea, Ana ^b   Martin Fernandez M ^a   Alberola Lopez C ^a  

^a Laboratorio de Procesado de Imagen   (Spain)

^b HOSPITAL CLÍNICO UNIVERSITARIO DE VALLADOLID   (Spain)

Author keywords

Acute myocardial infarction; Cardiac function; Magnetic resonance imaging; Markov Random Field; Unsupervised segmentation

Indexed keywords

ACUTE MYOCARDIAL INFARCTION; CARDIAC FUNCTION; CARDIAC FUNCTIONS; DEFORMABLE MODELS; DISCRETE SPACES; IMAGE ANALYSIS TOOLS; LEFT VENTRICLES; MARGINALS; MARKOV RANDOM FIELD; MARKOV RANDOM FIELDS; MYOCARDIUM SEGMENTATION; OPTIMAL TIME; PROBABILISTIC OPTIMIZATION; ROBUST SEGMENTATION; SEGMENTED IMAGES; SPATIAL SMOOTHNESS; STOCHASTIC DEFORMABLE MODEL; UNSUPERVISED SEGMENTATION;

DEFORMATION; HEART; MAGNETIC RESONANCE IMAGING; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; RESONANCE; STOCHASTIC MODELS;

IMAGE SEGMENTATION;

ACUTE HEART INFARCTION; ADULT; ARTICLE; CARDIOVASCULAR PARAMETERS; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; HEART FUNCTION; HEART LEFT VENTRICLE; HEART MUSCLE; HIDDEN MARKOV MODEL; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MALE; MAXIMUM LIKELIHOOD METHOD; PRIORITY JOURNAL; PROBABILITY; STOCHASTIC MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING, CINE; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79952441784     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2011.01.002     Document Type: Article

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