A statistical model of right ventricle in Tetralogy of Fallot for prediction of remodelling and therapy planning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 214-221

  Mansi, Tommaso ^a   Durrleman, Stanley ^a   Bernhardt, Boris ^b   Sermesant, Maxime ^a   Delingette, Hervé ^a   Voigt, Ingmar ^c,f   Lurz, Philipp ^d   Taylor, Andrew M ^d   Blanc, Julie ^e   Boudjemline, Younes ^e   Pennec, Xavier ^a   Ayache, Nicholas ^a  

^a INRIA   (France)

^b MCGILL UNIVERSITY   (Canada)

^c SIEMENS AG   (Germany)

^d GREAT ORMOND STREET HOSPITAL   (United Kingdom)

^e HÔPITAL NECKER ENFANTS MALADES   (France)

^f UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BODY SURFACE; CANONICAL CORRELATION ANALYSIS; DEFORMATION MODES; END-DIASTOLIC; FORWARD MODELS; GENERATIVE MODEL; MULTI VARIATE ANALYSIS; ON CURRENTS; REGIONAL IMPACTS; RIGHT VENTRICLE; RISK FACTORS; STATISTICAL MODELS; TETRALOGY OF FALLOT; THERAPY PLANNING;

DECISION MAKING; DEFORMATION; MEDICAL COMPUTING; VALVES (MECHANICAL);

MULTIVARIANT ANALYSIS;

ADOLESCENT; ARTICLE; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED THERAPY; COMPUTER SIMULATION; FALLOT TETRALOGY; FEMALE; HEART RIGHT VENTRICLE FUNCTION; HEART VENTRICLE REMODELING; HUMAN; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROGNOSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ADOLESCENT; COMPUTER SIMULATION; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; MALE; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; PROGNOSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TETRALOGY OF FALLOT; THERAPY, COMPUTER-ASSISTED; VENTRICULAR DYSFUNCTION, RIGHT; VENTRICULAR REMODELING;

EID: 84875142821     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_27     Document Type: Conference Paper

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