Optimal sampling geometries for TV-norm reconstruction of fMRI data

This study explores the ability to reconstruct functional magnetic resonance imaging (fMRI) brain slices from a limited number of K-space samples. We use compressed sensing methods to reconstruct brain imaging activity using different K-space sampling geometries. To determine the optimal sampling ge...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Jeromin, O.M., Calhoun, V.D., Pattichis, M.S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Brain Compressed sensing Finite difference methods Geometry Image coding Image reconstruction Magnetic resonance imaging Sampling methods Wavelet domain
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