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Abstract #3862

High SNR and High-Resolution fMRI using 3D OSSI and Tensor Model Reconstruction

Shouchang Guo1, Jeffrey A. Fessler1, and Douglas C. Noll2
1Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States

The goals of fMRI acquisition methods include high spatial and temporal resolutions with high signal to noise ratio (SNR). Oscillating Steady-State Imaging (OSSI) is a new fMRI acquisition method that provides large signals with high SNR, but may result in a slower acquisition of modest spatial resolution. This work improves OSSI spatial and temporal resolutions by exploiting the inherent high-dimensional structure of OSSI data and developing a tensor low-rank model for OSSI prospectively undersampled reconstruction. Compared to GRE imaging with the same spatial-temporal resolution, 3D OSSI demonstrated 2 times higher temporal SNR and 2 times larger activation region.

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