Artifact Reduction for MPI

High-quality images are essential for any imaging modality to make a reliable diagnosis, and although MPI is highly sensitive, artifacts are common. This issue poses significant challenges for applications that operate in environments with extremely low levels of iron, such as cell tracking. As a result, our objective is to reduce the amount of image artifacts in MPI by implementing different methods in the reconstruction process that allow for these applications. Key components for artifact reduction are:

Extrapolating the system matrix beyond the drive-field field of view reduces artifacts at the patch boundaries in multi-patch imaging scenarios.

Publications

[120375]
Title: Multi-Patch Magnetic Particle Imaging of a Phantom with Periodic Motion. <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em>
Written by: N. Gdaniec, P. Szwargulski, M. Möddel, M. Boberg, and T. Knopp
in: (2019).
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on pages: 27-28
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Note: inproceedings, artifact

Abstract: Magnetic Particle Imaging of large objects is typically performed with the help of focus fields or by object movement. Because the different positions are acquired sequentially, the spatial resolution worsens with the number of acquired positions. We propose an imaging sequence and data processing steps to reconstruct an image from an object experiencing periodic motion with reduced motion artifacts. Feasibility is shown for phantom data.