Cardiac electrophysiological activation pattern estimation from images using a patient-specific database of synthetic image sequences

IEEE Transactions on Biomedical Engineering

Volumn 61, Issue 2, 2014, Pages 235-245

  Prakosa, Adityo ^a   Sermesant, Maxime ^a   Allain, Pascal ^b   Villain, Nicolas ^b   Rinaldi, C Aldo ^c   Rhode, Kawal ^d   Razavi, Reza ^d   Delingette, Herve ^a   Ayache, Nicholas ^a  

^a INRIA   (France)

^b PHILIPS HEALTHCARE   (United States)

^c ST THOMAS HOSPITAL   (United Kingdom)

^d KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Cardiac electrophysiology; computer model; inverse problem; machine learning; non invasive mapping; synthetic images

Indexed keywords

CARDIAC ELECTROPHYSIOLOGY; CARDIO-VASCULAR DISEASE; COMPLEX RELATIONSHIPS; COMPUTER MODELING; ELECTRICAL ACTIVITIES; ELECTROMECHANICAL MODELING; MECHANICAL CONTRACTION; SYNTHETIC IMAGES;

ACTIVATION ANALYSIS; COMPUTER SIMULATION; COMPUTER VISION; DATABASE SYSTEMS; DISEASES; ELECTROPHYSIOLOGY; ESTIMATION; INVERSE PROBLEMS; KINEMATICS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAPPING; NEUROLOGY;

HEART;

ANALYTICAL ERROR; ARTICLE; AUTOMATED PATTERN RECOGNITION; CARDIAC MAPPING SYSTEM; COMPUTER MODEL; CONTROLLED STUDY; HEART DEPOLARIZATION; HEART ELECTROPHYSIOLOGY; HEART MOVEMENT; HEART MUSCLE ISCHEMIA; HUMAN; IMAGE ANALYSIS; KINEMATICS; MOTION ANALYSIS SYSTEM; SIMULATION; TIME SERIES ANALYSIS;

AGED; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATABASES, FACTUAL; ELECTROCARDIOGRAPHY; FEMALE; HEART; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; MODELS, CARDIOVASCULAR; MOTION;

EID: 84893232494     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2281619     Document Type: Article

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