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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