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Abstract #2894

Virtually Independent Gaussian Channel ing (VIPGen) Image Reconstruction for Functional Magnetic Resonance Inverse Imaging (FMRInI)

Shr-Tai Liou1, Hsiao-Wen Chung1, Wei-Tang Chang2, Wen-Kai Tsai2, Fa-Hsuan Lin2,3

1Graduate Institute of Biomedical Electronics & Bioinformatics, National Taiwan University, Taipei, Taiwan, Taiwan; 2Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, Taiwan; 3MGH-HST Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States

Single-shot volumetric MR inverse imaging (InI) can achieve 100 ms temporal resolution and 5-10 mm spatial resolution with the whole head coverage. Different approaches have been proposed to reconstruct InI images with high spatial resolution or high computational efficiency. Here we propose the virtually independent parallel Gaussian channel ing (VIPGen) reconstruction. The group analysis in our visuomotor experiments shows that VIPGen provides good spatial resolution similar to the sources reconstructed by the eigenspace L1 norm minimization and high statistical values, while the computing time is comparable to the L2 norm minimization.