High spatial resolution compressed sensing (HSPARSE) functional MRI.

摘要: Purpose To propose a novel compressed sensing (CS) high spatial resolution functional MRI (fMRI) method and demonstrate the advantages limitations of using CS for fMRI. Methods A randomly undersampled variable density spiral trajectory enabling an acceleration factor 5.3 was designed with balanced steady state free precession sequence to achieve data acquisition. A modified k-t SPARSE then implemented applied strategy optimize regularization parameters consistent, quality reconstruction. Results The proposed improves by six-fold 12 47% contrast-to-noise ratio (CNR), 33 117% F-value improvement maintains same temporal resolution. It also achieves sensitivity 69 99% compared original ground-truth, small false positive rate less than 0.05 low hemodynamic response function distortion across wide range CNRs. The is robust physiological noise enables detection layer-specific activities in vivo, which cannot be resolved highest Nyquist acquisition. Conclusion The fMRI that can resolve brain activity demonstrates significant bring fMRI. Magn Reson Med 76:440–455, 2016. © 2015 Authors. Magnetic Resonance Medicine published Wiley Periodicals, Inc. on behalf International Society Medicine. This open access article under terms Creative Commons Attribution-NonCommercial-NoDerivs License, permits use distribution any medium, provided work properly cited, non-commercial no modifications or adaptations are made.