Andrii Y Petrov1, Michael Herbst1,2, 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 kz-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.
