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Abstract #3196

Sub 2 mm resolution fMRI at 3T using randomly undersampled 3D-EPI with locally low-rank + temporally sparse reconstruction

Rex T.L. Fung1,2, Rodrigo A. Lobos2, Jeffrey A. Fessler2,3,4, Douglas C. Noll1,2,4, and Jon-Fredrik Nielsen1,2,4
1Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI, United States, 4Radiology, University of Michigan, Ann Arbor, MI, United States

Synopsis

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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Keywords