Behzad Sharif1, Yoram Bresler1
1Electrical and Computer Engineering, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, United States
We presented a k-space-based self-calibrating parallel MRI reconstruction technique, dubbed ACSIOM, which estimates a GRAPPA-type interpolation kernel by jointly minimizing data inconsistency and aliasing distortion. In imaging scenarios where high effective acceleration is desired, the capability to reconstruct artifact-free images with minimal amount of reference (auto-calibration scan) data is needed. In such cases, we have shown that ACSIOM outperforms two different implementations of GRAPPA. The results indicate that improved image quality, and thus greater scan time reductions compared to GRAPPA can be achieved.