Abstract #4566

Reconstruction of Retrospectively-Gated Cardiac Data Using a Combination of GRAPPA, SPACE-RIP, UNFOLD and an Adaptive Regularization Scheme

Tzu-Cheng Chao^1,2, William Scott Hoge³, Jing Yuan⁴, Hsiao-Wen Chung², Bruno Madore⁴

¹Department of Radiology, Brigham and Women's Hospital, Harvard Medical School,, Boston, MA, USA; ²Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan; ³Department of Radiology,, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; ⁴Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA

A novel retrospectively-gated reconstruction approach is proposed for accelerated cardiac cine imaging. The approach combines advantageous features from fast-imaging methods such as GRAPPA, SPACE-RIP, UNFOLD, kt-SENSE, SHRUG and GEYSER. The result is a reliable algorithm, tested up to acceleration factors of 6.3 (subsampling factor of 8), and featuring fast reconstruction processing.