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

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

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.