Image reconstruction for Magnetic Particle Imaging using an Augmented Lagrangian Method
Date
2017
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Source Title
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
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Publisher
IEEE
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Pages
64 - 67
Language
English
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2
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Abstract
Magnetic 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.
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Keywords
Algebraic reconstruction technique, Alternating direction method of multipliers, Augmented Lagrangian method, Field free line, Magnetic particle imaging, Algebra, Constrained optimization, Image processing, Lagrange multipliers, Magnetism, Medical imaging, Nanomagnetics, Optimization, Signal to noise ratio, Algebraic reconstruction techniques, Alternating direction method of multipliers, Augmented Lagrangian methods, Field free line, Magnetic particle imaging, Image reconstruction