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Abstract #0584

Fully Quantitative Perfusion Pixel Maps of First-Pass Contrast-Enhanced MRI for Coronary Artery Disease Detection: A Preliminary Evaluation in Patients

Li-Yueh Hsu1, Peter Kellman1, Hui Xue2, Jens Guehring2, Sven Zuehlsdorff3, Sujata M. Shanbhag1, W Patricia Bandettini1, Marcus Y. Chen1, Andrew E. Arai1

1Laboratory of Cardiac Energetics, National Heart Lung and Blood Institute / NIH, Bethesda, MD, United States; 2Imaging and Visualization, Siemens Corporate Research, Princeton, NJ, United States; 3CMR Research and Development, Siemens Medical Solutions, Chicago, NJ, United States

In this study we present an automated approach for generating fully quantitative myocardial blood flow (MBF) pixel maps from first-pass contrast-enhanced perfusion MR images. The results of the MBF pixel maps were evaluated in patients with known or suspected coronary artery disease and correlated with coronary angiography. Our results show that the performance of MBF pixel maps is comparable to clinical interpretation. This automated approach shows the feasibility of quantitative perfusion imaging for coronary artery disease detection.