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Abstract #1774

Unsupervised Inline Analysis of Cardiac Perfusion MRI

Hui Xue1, Sven Zuehlsdorff2, Peter Kellman3, Andrew Arai3, Sonia Nielles-Vallespin4, Christophe Chef D Hotel1, Beatriz Paniagua1, Christine Lorenz1, Jens Guehring1

1Imaging and Visualization, Siemens Corporate Research, Princeton, NJ, USA; 2CMR Research and Development, Siemens Medical Solutions USA, Inc., Chicago, IL, USA; 3Laboratory of Cardiac Energetics, National Institutes of Health/NHLBI, Bethesda, MD, USA; 4MED MR PLM AW Cardiology, Siemens AG Healthcare Sector, Erlangen, Germany

No clinically accepted solution has emerged yet to automatically perform comprehensive analysis of first-pass myocardial perfusion MR data. We therefore propose a novel perfusion analysis scheme, including the steps of concatenated motion correction, adaptive noise suppression and perfusion parameter map generation. The solution has been integrated into the image reconstruction environment and does not require any user interaction. Results are typically available in less than one minute after the data acquisition is finished. The feasibility of proposed techniques was verified by in vivo studies on patients undergoing stress and rest first pass myocardial perfusion imaging.