A new hybrid non-clustering VOP compression algorithm
Stephan Orzada, Thomas M. Fiedler, Mark E. Ladd · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 2024
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.