Abstract #2441

Comparison between GRAPPA and automatic compressed sensing-based reconstruction up to 16-fold acceleration

Gabriel Varela-Mattatall^1,2, Roy A.M. Haast ^1,3, Omer Oran⁴, Ali R. Khan ^1,2, and Ravi S. Menon^1,2

¹Centre for Functional and Metabolic Mapping (CFMM) | Robarts Research Institute | Western University, London, ON, Canada, ²Department of Medical Biophysics | Schulich School of Medicine and Dentistry | Western University, London, ON, Canada, ³Aix-Marseille Universite | CNRS | CRMBM, Marseille, France, ⁴Siemens Healthcare Limited, Oakville, ON, Canada

Synopsis

With the recent development of an automatic compressed sensing (CS)-based reconstruction method, we investigated its allowance to recover T₂^* maps from prospectively undersampled multi-echo, gradient echo-based acquisitions at 7T. We compared our CS method with the more conventional GRAPPA-based reconstruction using up to 16-fold acceleration. In contrast to GRAPPA, our CS-based method allows recovery of T₂^* maps up to 16-fold acceleration, which demonstrates its promise for ultra-fast acquisitions. However, current results also show some caveats that need to be addressed as future work.

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