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

[185592]
Title: Reducing displacement artifacts in multi-patch magnetic particle imaging.
Written by: M. Boberg, T. Knopp, and M. Möddel
in: <em>10th International Congress on Industrial and Applied Mathematics (ICIAM 2023)</em>. (2023).
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on pages: 05026
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URL: https://iciam2023.org/registered_data?id=00283#05026
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Note: inproceedings, multi-patch, artifact

Abstract: Magnetic particle imaging determines the spatial distribution of superparamagnetic nanoparticles within a small field-of-view. Multi-patch approaches can expand the field-of-view at the cost of artifacts caused by field imperfections. Time-consuming calibration scans can reduce these displacement artifacts by measuring system matrices for each patch. In this contribution, only one central system matrix is used, which is warped according to the underlying magnetic fields, resulting in low calibration times and higher image quality.