Methodology for image-based reconstruction of ventricular geometry for patient-specific modeling of cardiac electrophysiology

Progress in Biophysics and Molecular Biology

Volumn 115, Issue 2-3, 2014, Pages 226-234

  Prakosa, A ^a,b   Malamas, P ^b   Zhang, S ^d   Pashakhanloo, F ^a   Arevalo, H ^a,b   Herzka, D A ^c   Lardo, A ^a,c   Halperin, H ^a,c   McVeigh, E ^a,c   Trayanova, N ^a,b   Vadakkumpadan, F ^a,b  

^a Johns Hopkins University   (United States)

^b Johns Hopkins University   (United States)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d TSINGHUA UNIVERSITY   (China)

Author keywords

Cardiac electrophysiology; Cardiac ventricular geometry reconstruction; Interpolation; Validation; Variational implicit functions

Indexed keywords

ANATOMIC LANDMARK; ANIMAL; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; DOG; ELECTROCARDIOGRAPHY; HEART MUSCLE CONDUCTION SYSTEM; HEART VENTRICLE; HUMAN; MULTIMODAL IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; PIG; PROCEDURES; THREE DIMENSIONAL IMAGING;

ANATOMIC LANDMARKS; ANIMALS; BODY SURFACE POTENTIAL MAPPING; DOGS; HEART CONDUCTION SYSTEM; HEART VENTRICLES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MULTIMODAL IMAGING; PATIENT-SPECIFIC MODELING; SWINE;

EID: 84908612180     PISSN: 00796107     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pbiomolbio.2014.08.009     Document Type: Article

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