Tobias Wech1, Marcel Gutberlet1, Daniel Stb1, Dietbert Hahn1, Herbert Kstler1
1Institute of Radiology, University of Wuerzburg, Wuerzburg, Bavaria, Germany
Compressed sensing allows reconstructing undersampled data in the presence of sparse or compressible signals. However, up to now there are no studies that examine basic imaging parameters like image noise and spatial resolution for compressed sensing. In this work, methods were introduced to determine image quality parameters suitable for compressed sensing reconstructions and applied to to the compressed sensing of cardiac CINE imaging.