Myocardial Infarct Segmentation from Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology

IEEE Transactions on Medical Imaging

Volumn 35, Issue 6, 2016, Pages 1408-1419

  Ukwatta, Eranga ^a   Arevalo, Hermenegild ^a   Li, Kristina ^a   Yuan, Jing ^c   Qiu, Wu ^c   Malamas, Peter ^a   Wu, Katherine C ^b   Trayanova, Natalia A ^a   Vadakkumpadan, Fijoy ^a  

^a Johns Hopkins University   (United States)

^b DEPARTMENT OF PATHOLOGY   (United States)

^c ROBARTS RESEARCH INSTITUTE   (Canada)

Author keywords

Convex optimization; image segmentation; late gadolinium enhanced magnetic resonance imaging; simulations of cardiac electrophysiology

Indexed keywords

COMPUTATIONAL GEOMETRY; CONVEX OPTIMIZATION; ELECTROPHYSIOLOGY; GADOLINIUM; GEOMETRY; HEART; MAGNETIC LEVITATION VEHICLES; MAGNETIC RESONANCE IMAGING; MAGNETISM; NEUROLOGY; OPTIMIZATION; PHYSIOLOGY; RESONANCE;

CARDIAC ELECTROPHYSIOLOGY; CARDIAC MAGNETIC RESONANCE; CLINICAL APPLICATION; OPTIMIZATION PROBLEMS; SEGMENTATION METHODS; SHAPE-BASED INTERPOLATION; THREE DIMENSIONAL GEOMETRY; TWO DIMENSIONAL (2 D);

IMAGE SEGMENTATION;

GADODIAMIDE; GADOLINIUM;

ARTICLE; CARDIOVASCULAR MAGNETIC RESONANCE; CONTINUOUS MAX FLOW METHOD; GEOMETRY; HEART ELECTROPHYSIOLOGY; HEART LEFT VENTRICLE INFARCTION; HEART LEFT VENTRICLE MUSCLE; HISTOGRAM; HUMAN; IMAGE RECONSTRUCTION; IMAGING SOFTWARE; MAJOR CLINICAL STUDY; MATHEMATICAL ANALYSIS; MEASUREMENT ACCURACY; NUCLEAR MAGNETIC RESONANCE SCANNER; SIMULATION; THREE DIMENSIONAL IMAGING; WHOLE BODY SCANNER; BIOLOGICAL MODEL; COMPUTER SIMULATION; DIAGNOSTIC IMAGING; HEART FUNCTION TEST; HEART INFARCTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; PROCEDURES;

COMPUTER SIMULATION; ELECTROPHYSIOLOGIC TECHNIQUES, CARDIAC; GADOLINIUM; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, CARDIOVASCULAR; MYOCARDIAL INFARCTION; PATIENT-SPECIFIC MODELING;

EID: 84974566708     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2015.2512711     Document Type: Article

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