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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