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Abstract #0486

Iterative Self-Consistent Magnetic Resonance Inverse Imaging

Tsung-Min Huang1, Thomas Witzel2, Wen-Jui Kuo3, Fa-Hsuan Lin1,2

1Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan; 2Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA; 3Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan

Dynamic magnetic resonance inverse imaging offers an unpredicted temporal resolution for BOLD fMRI by trading off the spatial resolution. Previously, we found that k-space InI (K-InI) reconstruction provides a higher spatial resolution compared with the image domain method based on the GRAPPA formulation. Here we hypothesize that the using SPIRiT (iterative self-consistent parallel imaging reconstruction) reconstruction can further improve K-InI reconstruction by adding a constraint to ensure data consistency in k-space. Preliminary results show that SPIRiT InI has a higher spatial resolution and comparable detection power to K-InI in BOLD fMRI measurements.