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.