Direct estimation of cardiac biventricular volumes with an adapted bayesian formulation

IEEE Transactions on Biomedical Engineering

Volumn 61, Issue 4, 2014, Pages 1251-1260

  Wang, Zhijie ^a   Salah, Mohamed Ben ^b   Gu, Bin ^a   Islam, Ali ^a,c   Goela, Aashish ^a,d   Li, Shuo ^e  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b UNIVERSITY OF ALBERTA   (Canada)

^c ST JOSEPH S HEALTH CENTRE   (Canada)

^d LONDON HEALTH SCIENCES CENTRE   (Canada)

^e GE Health Care   (Canada)

Author keywords

Bayesian estimation; cardiac function assessment; cardiac MRI; ventricular volume

Indexed keywords

BAYESIAN NETWORKS; HEART;

ACCURATE ESTIMATION; BAYESIAN ESTIMATIONS; BAYESIAN FORMULATION; CARDIAC FUNCTIONS; CARDIAC MRI; INDEPENDENT GROUNDS; LIKELIHOOD FUNCTIONS; VENTRICULAR VOLUME;

ESTIMATION;

ALGORITHM; ARTICLE; BAYES THEOREM; BLOB FEATURE; BLOOD VOLUME; CARDIAC BIVENTRICULAR VOLUME; CARDIOVASCULAR MAGNETIC RESONANCE; CARDIOVASCULAR PARAMETERS; CORRELATION COEFFICIENT; EDGE FEATURE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEART CYCLE; HEART FUNCTION; HEART LEFT VENTRICLE; HEART RIGHT VENTRICLE; HOMOGENEITY FEATURE; LIKELIHOOD FUNCTION; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; PROBABILITY;

BAYES THEOREM; CARDIAC VOLUME; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS;

EID: 84897464862     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2014.2299433     Document Type: Article

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