Differential Energy: A K-Space PPI Reconstruction Optimization Metric

Thomas A. Depew¹, Qing-San Xiang¹, ²

Partial Parallel Imaging (PPI) is a popular choice for performing accelerated acquisitions in MRI. PPI algorithms that use calibration and fitting to recreate the omitted k-space signals are candidates for using the Differential Energy (E_D) as a metric for optimizing reconstruction parameters. E_D provides a measure of the accuracy of the reconstruction and can be calculated without a fully sampled reference image. The E_D reliably predicted optimal RW for a regionally tuned GRAPPA algorithm (r-GRAPPA).