Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting

Journal of Cardiovascular Magnetic Resonance

Volumn 19, Issue 1, 2017, Pages

  Morais, Pedro ^a,b,c   Marchi, Alberto ^d   Bogaert, Julie A ^d   Dresselaers, Tom ^d   Heyde, Brecht ^a   D'Hooge, Jan ^a   Bogaert, Jan ^d  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b UNIVERSITY OF MINHO   (Portugal)

^c UNIVERSITY OF PORTO   (Portugal)

^d DEPARTMENT OF IMAGING AND PATHOLOGY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CARDIOVASCULAR MAGNETIC RESONANCE; CARDIOVASCULAR MAGNETIC RESONANCE MYOCARDIAL FEATURE TRACKING; CARDIOVASCULAR PARAMETERS; CLINICAL ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; CORRELATION COEFFICIENT; FACTUAL DATABASE; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGING AND DISPLAY; IMAGING SOFTWARE; INTEROBSERVER VARIABILITY; INTRAOBSERVER VARIABILITY; LEFT VENTRICULAR CIRCUMFERENTIAL STRAIN; LEFT VENTRICULAR RADIAL STRAIN; MALE; MYOCARDIAL STRAIN; NON RIGID ELASTIC IMAGE REGISTRATION ALGORITHM; NUCLEAR MAGNETIC RESONANCE SCANNER; PARAMETERS; REPRODUCIBILITY; STEADY STATE FREE PRECESSION CINE IMAGE; TEST RETEST RELIABILITY; ADULT; BIOMECHANICS; CASE CONTROL STUDY; CINE MAGNETIC RESONANCE IMAGING; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; HEART CONTRACTION; HEART LEFT VENTRICLE FUNCTION; HEART MUSCLE ISCHEMIA; HEART STROKE VOLUME; MECHANICAL STRESS; MIDDLE AGED; OBSERVER VARIATION; PATHOPHYSIOLOGY; PREDICTIVE VALUE; PROCEDURES; PROSPECTIVE STUDY; TIME FACTOR;

ADULT; ALGORITHMS; BIOMECHANICAL PHENOMENA; CASE-CONTROL STUDIES; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; MALE; MIDDLE AGED; MYOCARDIAL CONTRACTION; MYOCARDIAL ISCHEMIA; OBSERVER VARIATION; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; REPRODUCIBILITY OF RESULTS; STRESS, MECHANICAL; STROKE VOLUME; TIME FACTORS; VENTRICULAR FUNCTION, LEFT;

EID: 85012899517     PISSN: 10976647     EISSN: 1532429X     Source Type: Journal    
DOI: 10.1186/s12968-017-0333-y     Document Type: Article

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