Ilbey S.Top C.B.Çukur, TolgaSarıtaş, Emine ÜlküGuven H.E.2018-04-122018-04-1220179781509011711http://hdl.handle.net/11693/37623Date of Conference: 18-21 April 2017Magnetic particle imaging (MPI) is a relatively new imaging modality that images the spatial distribution of superparamagnetic iron oxide nanoparticles administered to the body. In this study, we use a new method based on Alternating Direction Method of Multipliers (a subset of Augmented Lagrangian Methods, ADMM) with total variation and l1 norm minimization, to reconstruct MPI images. We demonstrate this method on data simulated for a field free line MPI system, and compare its performance against the conventional Algebraic Reconstruction Technique. The ADMM improves image quality as indicated by a higher structural similarity, for low signal-to-noise ratio datasets, and it significantly reduces computation time. © 2017 IEEE.EnglishAlgebraic reconstruction techniqueAlternating direction method of multipliersAugmented Lagrangian methodField free lineMagnetic particle imagingAlgebraConstrained optimizationImage processingLagrange multipliersMagnetismMedical imagingNanomagneticsOptimizationSignal to noise ratioAlgebraic reconstruction techniquesAlternating direction method of multipliersAugmented Lagrangian methodsField free lineMagnetic particle imagingImage reconstructionConference Paper10.1109/ISBI.2017.7950469