GPU-Enabled Individualized Acceleration Apportionment for SENSE and CAIPIRINHA

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

Improving the performance of 2D-accelerated 3D acquisitions by determining an individualized acceleration selection, (<I>R_Y, R_Z</I>) for SENSE or (<I>R_Y, R_Z,Delta</I>) for CAIPIRINHA, for each patient/coil combination is an area of active research. Determining what is the optimal choice of accelerations is a compute- and time-intensive step. To enable a clinical practice-compatible (fast) process, we have implemented a GPU-based optimization routine, enabling a wide range of potential acceleration choices to be examined in under 10 seconds. The process of converting these calculations to a GPU as well as observed performance improvements are discussed.