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Abstract #4566

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

Tzu-Cheng Chao1,2, 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.