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.