Myocardial blood flow quantification from MRI by deconvolution using an exponential approximation basis

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 7, 2012, Pages 2060-2067

  Hautvast, Gilion ^a   Chiribiri, Amedeo ^b   Zarinabad, Niloufar ^b   Schuster, Andreas ^b   Breeuwer, Marcel ^a,c   Nagel, Eike ^b  

^a PHILIPS HEALTHCARE   (United States)

^b KING'S COLLEGE LONDON   (United Kingdom)

^c EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Deconvolution; myocardial perfusion; validation

Indexed keywords

CARDIOVASCULAR MAGNETIC RESONANCES; CLINICAL IMAGE DATA; CLINICAL ROUTINE; EXPONENTIAL APPROXIMATION BASIS; MYOCARDIAL BLOOD FLOW; MYOCARDIAL CONTOURS; MYOCARDIAL PERFUSION; RESPIRATORY MOTIONS; SIMULATED SIGNALS; VALIDATION;

BIOPHYSICS; DECONVOLUTION; MEDICAL APPLICATIONS;

MAGNETIC RESONANCE;

ACCURACY; ANALYTICAL ERROR; ARTICLE; BLOOD FLOW VELOCITY; BREATHING; CARDIOVASCULAR MAGNETIC RESONANCE; CONTRAST ENHANCEMENT; DECONVOLUTION ANALYSIS; HEART MUSCLE; HEART MUSCLE BLOOD FLOW; HUMAN; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; PERFUSION WEIGHTED IMAGING; PHANTOM; QUANTITATIVE ANALYSIS; SIGNAL NOISE RATIO; SIGNAL PROCESSING;

ALGORITHMS; CORONARY CIRCULATION; HEMODYNAMICS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE ANGIOGRAPHY; MODELS, CARDIOVASCULAR; PHANTOMS, IMAGING;

EID: 84862751130     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2197620     Document Type: Article

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