Abstract #4201

Improving temporal resolution in fMRI using 3D spiral acquisition and low-rank plus sparse image reconstruction

Andrii Y Petrov¹, Michael Herbst^1,2, and V Andrew Stenger¹

¹Department of Medicine, University of Hawaii, Honolulu, HI, United States, ²Department of Radiology and Medical Physics, University Medical Center Freiburg, Freiburg, Germany

Recent advances in dynamic MRI propose low-rank plus sparse (L+S) matrix decomposition for image reconstruction from reduced data acquisition. The L+S method has been successfully applied to multiple applications including cardiac MRI, perfusion, angiography and recently to denoise resting-state fMRI data, suggesting that it might be promising for improving temporal resolution in task-based fMRI. We propose to use 3D spiral acquisition, undersampled in k_z-t domain, and L+S method for image reconstruction. Our results indicate that proposed approach allows 4x acceleration for the data acquisition and improved statistical significance of activation maps in the S component from an increased temporal resolution and eliminating physiological noise in the L component.

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