Functional MRI Employing Compressed Sensing and Separation of Signal and Noise in K-Space

Keywords

achieved activation activations address affected anders anterior applicability applied assumed axial beats berg beta calculating channel channels checkerboard circulation clinic close coefficients coil compensation compressed consisted correction correctly cortex critical cross decent decomposed degradation distributions domain eddy effective employing example except feasible filter filtering filters final find flashing form frame frames frequency functional general generated giving green head heart highest hospital idea identified in vivo include individual initial international isotropic iterations keeping length little loss macro makes maps matrix medical minimal mode motion much needed noise novel outside outweighed paradigm part partially parts possibility posterior presto produced programming proposed quality radiology randomly rapid readout recalculating receiver recombined reconstructed reconstruction regularized removed rescaled rescaling residual resolution rest robustness sciences segmented selected sensing separately separates separating series sets sided simulated space squares starting statistical statistics step subject suitable summation synthetic table temporal thermal third tool transformed trio unbiased utilizes variance variation variations visual volume weaker