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Abstract #0073

On the Quality Evaluation for Images Reconstructed by Compressed Sensing

Tobias Wech1, 2, Daniel Stb1, Andr Fischer1, Dietbert Hahn1, Herbert Kstler1

1Institute of Radiology, University of Wuerzburg, Wuerzburg, Bavaria, Germany; 2Center for Applied Medical Imaging, Siemens Corporate Research, Baltimore, MD, USA

Compressed Sensing reconstructions are characterized by a non-linear and non-stationary nature of the dedicated algorithms. Therefore image quality estimation as used for regular Fourier Imaging is not feasible. The aim of this work was to develop a workaround that provides a linear PSF-approximation as well as a validity-test to control its quality. The workflow was tested on the example of a sparse temporal difference image of the human heart and showed a positive result for the validity-test.