A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 6, 2013, Pages 1499-1508

  Wei, Dong ^a   Sun, Ying ^a   Ong, Sim Heng ^a   Chai, Ping ^b   Teo, Lynette L ^c   Low, Adrian F ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b NATIONAL UNIVERSITY HEALTH SYSTEM   (Singapore)

^c NATIONAL UNIVERSITY HOSPITAL   (Singapore)

Author keywords

Cardiac MRI; classification; infarction quantification; late gadolinium enhanced (LGE); segmentation

Indexed keywords

ACCURATE QUANTIFICATIONS; AUTOMATIC QUANTIFICATION; CARDIAC MAGNETIC RESONANCE; CARDIAC MAGNETIC RESONANCE IMAGES; CARDIAC MRI; INFARCTION QUANTIFICATION; INTENSITY HETEROGENEITY; LATE GADOLINIUM ENHANCED (LGE);

CLASSIFICATION (OF INFORMATION); GADOLINIUM; HOSPITAL DATA PROCESSING; IMAGE SEGMENTATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; PATIENT TREATMENT;

THREE DIMENSIONAL;

GADOLINIUM;

ADULT; AGED; ALGORITHM; ARTICLE; CARDIOVASCULAR MAGNETIC RESONANCE; CLINICAL ARTICLE; CONTRAST ENHANCEMENT; ENDOCARDIUM; EPICARDIUM; FEMALE; HEART INFARCTION; HEART MUSCLE; HUMAN; MALE; QUANTITATIVE ANALYSIS;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFACTS; DATABASES, FACTUAL; FEMALE; GADOLINIUM; HEART; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING, CINE; MALE; MIDDLE AGED; MYOCARDIAL INFARCTION;

EID: 84877901403     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2237907     Document Type: Article

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