International Journal on Magnetic Particle Imaging IJMPI
Vol. 9 No. 1 Suppl 1 (2023): Int J Mag Part Imag

Short Abstracts

GAN-based deblurring of reconstructed images for MPI

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Nora Schwartz (Institute for Computer Science, University of Koblenz, Koblenz, Germany), Anselm von Gladiss 


Reconstructed images may suffer from blurring and reconstruction artefacts in Magnetic Particle Imaging. In this work, a generative adversarial network is used for deblurring reconstructed images in a post-processing step. The network is trained using eigen-reconstructions of a system matrix and evaluated on synthesized phantoms.

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