Automated Coil Subset Selection for Improved GRAPPA Reconstruction

Keith Heberlein¹

Conventional wisdom in parallel MR holds that increasing the number of coil elements always improves the image reconstruction. While that likely still holds when looking at the coil array as a whole after parallel reconstruction, the results presented here show that GRAPPA is improved when optimizing the reconstruction parameters on a coil by coil basis. Previous GRAPPA optimization methods have looked predominantly at determining the kernel support in k-space dimensions. The new findings presented here suggest the same procedure can be extended to a synthetic coil direction.