Abstract #0486

Iterative Self-Consistent Magnetic Resonance Inverse Imaging

Tsung-Min Huang¹, Thomas Witzel², Wen-Jui Kuo³, Fa-Hsuan Lin^1,2

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.