PROJECT TITLE :
Image Reconstruction For Magnetic Particle Imaging Using An Augmented Lagrangian Method - 2017
ABSTRACT:
Magnetic particle imaging (MPI) could be a comparatively new imaging modality that pictures the spatial distribution of superparamagnetic iron oxide nanoparticles administered to the body. In this study, we tend to use a replacement technique primarily based on Alternating Direction Method of Multipliers (a subset of Augmented Lagrangian Ways, ADMM) with total variation and l1 norm minimization, to reconstruct MPI images. We demonstrate this method on information simulated for a field free line MPI system, and compare its performance against the traditional Algebraic Reconstruction Technique. The ADMM improves image quality as indicated by a better structural similarity, for low signal-to-noise ratio datasets, and it significantly reduces computation time.
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