Abstract #1585
Hotelling Observer Efficiency Image Quality Metric for Compressed Sensing MRI
Christian G. Graff 1
1
Division of Imaging and Applied Mathematics,
U.S. Food and Drug Administration, Silver Spring, MD,
United States
To facilitate dynamic and quantitative MR imaging there
is significant interest in accelerated data
acquisitions. Less data are acquired, which is often
compensated for through iterative reconstruct techniques
such as compressed sensing. These techniques involve
non-linear regularization that complicates image
analysis and challenges the validity of traditional
image quality metrics such as pixel SNR. Here we develop
the concept of Hoteling-SNR efficiency which quantifies
the task-specific efficiency of compressed sensing
reconstructions relative to a fully-sampled acquisition,
measuring the tradeoff between image acquisition speed
and clinical utility, overcoming inherent limitations of
prior image quality metrics when analyzing compressed
sensing techniques.
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