Keywords: Safety, Safety, VOP, SAR
Motivation: Compression of SAR matrices can take very long for large data sets and large channel counts when using non-clustering algorithms that show the highest compression efficiency.
Goal(s): The goal of this study was to develop an algorithm that performs the compression faster while maintaining the compression efficiency.
Approach: We use a hybrid method that combines different algorithms to form a hybrid algorithm with greatly increased calculation speed.
Results: The new compression algorithm outperforms the older non-clustering compression algorithms at all VOP counts while maintaining the compression efficiency.
Impact: VOP compression is important for local SAR supervision and constraint pulse calculation in parallel transmission. We propose a new algorithm for non-clustered compression that greatly increases calculation speed, which is important especially at large channel counts.
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