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Abstract #4198

Local Temporal Point Spread Function for CS Reconstructions Exploiting X-F-Sparsity

Tobias Wech1, Daniel Stb1, Andre Fischer1, Dietbert Hahn1, Herbert Kstler1

1Institute of Radiology, University of Wrzburg, Wrzburg, Germany

Compressed Sensing reconstructions exploiting spatio-temporal sparsity have successfully been applied to accelerate dynamic MRI. However, the non-linear and non-stationary CS algorithms prohibit the straightforward evaluation of the temporal resolution through a single global temporal point spread function. In this work a pixelwise perturbation strategy was utilized to assess local temporal point spread functions for every image pixel. The method therefore allows an appropriate assessment of the temporal resolution and can thus improve the choice of sampling patterns and algorithm settings.