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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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