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

Main Article Content

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

Abstract

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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