Image Quality Parameters in MR Images, Reconstructed by Using Compressed Sensing

Tobias Wech¹, Marcel Gutberlet¹, Daniel Stb¹, Dietbert Hahn¹, Herbert Kstler¹

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.