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Abstract #2632

Estimation of error maps for evaluating precision of myocardial T2* mapping techniques

Christopher M. Sandino 1,2 , Peter Kellman 2 , Michael S. Hansen 2 , Andrew E. Arai 2 , and Hui Xue 2

1 Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California, United States, 2 Lab of Cardiac Energetics, National Heart, Lung, and Blood Institute, Bethesda, Maryland, United States

Pixel-wise T2* mapping is an emerging clinical technique for detection of myocardial iron overload and provides the benefit of having spatial context between tissues when compared to ROI-based T2* mapping. However, pixel-wise mapping is less precise than ROI-based mapping due to its use of low SNR data. We propose and validate a tool to estimate error (standard deviation) maps for evaluating the precision of pixel-wise T2* mapping techniques. This tool will be useful to researchers prototyping and developing more precise pixel-wise mapping techniques.

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