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Abstract #0126

Automated Selection of 2D-CAIPIRINHA Kernels and Application to 3D CE-MRA

Paul T. Weavers1, Eric A. Borisch1, Stephen J. Riederer1

1MR Research Laboratory, Mayo Clinic, Rochester, MN, United States

2D-CAIPIRINHA has been shown to reduce noise amplification when compared to traditional 2D-SENSE. However at high acceleration (R≥8) it is not clear which kernel will best accomplish this. An automated method to select the optimal kernel in a receiver coil and patient-specific manner in less than ten seconds has been developed. It has been validated with a retrospective study of nine sets of 3D foot exams, as well as in a prospective 3D contrast-enhanced MRA study.