Keywords: New Trajectories & Spatial Encoding Methods, New Trajectories & Spatial Encoding Methods, Sparse & Low-Rank Models
Motivation: Many fMRI applications require sub 2 mm resolution, but most existing methods lose functional sensitivity at sub 2 mm resolution due to thermal noise, especially at 3T.
Goal(s): To investigate and develop acquisition and reconstruction methods for high resolution BOLD fMRI at 3T.
Approach: 3D-EPI with randomized sampling was used for acquisition. Images were reconstructed via locally low-rank plus sparse decomposition. A finger tapping task is used for testing.
Results: Motor activation was detected at 1.8 mm resolution, with our protocol producing activation maps with higher specificity compared to standard reconstruction methods.
Impact: Randomized 3D-EPI and locally low-rank plus temporally sparse decomposition are novel approaches for high resolution fMRI. Other fMRI scientists can use our vendor-agnostic, open-source implementation as a template, adapting it to suit their specific high resolution fMRI needs.
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