Left ventricle: Fully automated segmentation based on spatiotemporal continuity and myocardium information in cine cardiac magnetic resonance imaging (LV-FAST)

BioMed Research International

Volumn 2015, Issue , 2015, Pages

  Wang, Lijia ^a,b   Pei, Mengchao ^a   Codella, Noel C F ^c   Kochar, Minisha ^b   Weinsaft, Jonathan W ^b   Li, Jianqi ^a   Prince, Martin R ^b   Wang, Yi ^a,b,d,e  

^a EAST CHINA NORMAL UNIVERSITY   (China)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

^c IBM T J WATSON RESEARCH CENTER   (United States)

^d School of Operations Research and Industrial Engineering   (United States)

^e Kyung Hee University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; AUTOMATION; CARDIOVASCULAR MAGNETIC RESONANCE; CLINICAL ARTICLE; FEMALE; HEART LEFT VENTRICLE; HEART LEFT VENTRICLE EJECTION FRACTION; HEART LEFT VENTRICLE ENDDIASTOLIC VOLUME; HEART LEFT VENTRICLE ENDSYSTOLIC VOLUME; HEART MUSCLE; HUMAN; IMAGE PROCESSING; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; AGED; CARDIAC MUSCLE; HEART VENTRICLE; MIDDLE AGED; RADIOGRAPHY;

ADULT; AGED; FEMALE; HEART VENTRICLES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MYOCARDIUM;

EID: 84924127094     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2015/367583     Document Type: Article

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