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Abstract #0760

Automated Coil Subset Selection for Improved GRAPPA Reconstruction

Keith Heberlein1

1Siemens AG, Healthcare Sector, Erlangen, Germany

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.