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BACKGROUND: Mathematical modeling of cardiovascular magnetic resonance perfusion data allows absolute quantification of myocardial blood flow. Saturation of left ventricle signal during standard contrast administration can compromise the input function used when applying these models. This saturation effect is evident during application of standard Fermi models in single bolus perfusion data. Dual bolus injection protocols have been suggested to eliminate saturation but are much less practical in the clinical setting. The distributed parameter model can also be used for absolute quantification but has not been applied in patients with coronary artery disease. We assessed whether distributed parameter modeling might be less dependent on arterial input function saturation than Fermi modeling in healthy volunteers. We validated the accuracy of each model in detecting reduced myocardial blood flow in stenotic vessels versus gold-standard invasive methods. METHODS: Eight healthy subjects were scanned using a dual bolus cardiac perfusion protocol at 3T. We performed both single and dual bolus analysis of these data using the distributed parameter and Fermi models. For the dual bolus analysis, a scaled pre-bolus arterial input function was used. In single bolus analysis, the arterial input function was extracted from the main bolus. We also performed analysis using both models of single bolus data obtained from five patients with coronary artery disease and findings were compared against independent invasive coronary angiography and fractional flow reserve. Statistical significance was defined as two-sided P value 

Original publication




Journal article


J cardiovasc magn reson

Publication Date





Adenosine, Blood Flow Velocity, Case-Control Studies, Contrast Media, Coronary Angiography, Coronary Artery Disease, Coronary Circulation, Coronary Vessels, Fractional Flow Reserve, Myocardial, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Models, Cardiovascular, Myocardial Perfusion Imaging, Organometallic Compounds, Predictive Value of Tests, Regional Blood Flow, Reproducibility of Results, Vasodilator Agents