Accelerated Spiral Gridding Reconstruction using Vectorization

This abstract presents a method that uses the vectorized parallelism in the modern CPUs to accelerate the reconstruction of images acquired using non-Cartesian trajectories such as spiral. Modern CPUs have SSE (Stream SIMD Extension) and AVX (Advanced Vectorization Extension) features, which are designed to improve the performance of the applications that have inherent parallel structures. We show that data acquired using spiral can be re-arranged and reconstructed using this approach. The reconstruction speed is four to five times faster than the conventional approach that uses multiple threads.

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