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Abstract #2052

High temporal resolution BOLD fMRI based on partial separability model with L2 norm constraint

caiyun shi 1 , xiaoyong zhang 1,2 , guoxi xie 1 , lijuan zhang 1 , chunxiang jiang 1 , and xin liu 1

1 Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, shenzhen, guangdong, China, 2 Centers for Biomedical Engineering, College of Information Science and Technology, University of Science and Technology of China, Hefei, China

Function magnetic resonance imaging(fMRI), which is a technique that measures the hemodynamic response realted to neural activity in the brain, requires a high spatial and temporal resolution. In this paper,we proposed a new method for accelerating fMRI experiments using sparse sampling of (k, t)-space which can greatly improve the temporal resolution than EPI. The performance of the proposed method has been evaluated using retrospective undersampling of EPI-based fMRI data and in vivo experiment. The proposed method produced accurate reconstruction of both the gray-scale images and the activation maps, and captured the BOLD signal with reduced imaging time for fMRI study.

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