Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non‐EPI fMRI at 9.4T
Han P, Park S, Kim S, Ye J. Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non‐EPI fMRI at 9.4T. BioMed Research International 2015, 2015: 131926. PMID: 26413503, PMCID: PMC4564593, DOI: 10.1155/2015/131926.Peer-Reviewed Original ResearchConceptsCompressive sensingBalanced steady-state free precessionSensitive to image distortionsHigh-resolution fMRI techniqueMagnetic field inhomogeneityLocal magnetic field inhomogeneitiesConventional functional magnetic resonance imagingCS reconstructionGradient-recalled echoCS algorithmFOCUSS algorithmNon-EPI sequencesMagnetic fieldSampling patternHigh-resolution functional magnetic resonance imagingFunctional magnetic resonance imagingField inhomogeneityGRE-EPIImage distortionSteady-state free precessionExperimental resultsTemporal resolutionAlgorithmFree precessionSpoiled gradient echo