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Demonstrates a new approach to improve reconstruction in multi-contrast magnetic particle imaging, suggesting faster recovery methods.
Multi-contrast magnetic particle imaging allows for separating signals from different tracer materials or microenvironments from one joint measurement, yielding multi-channel images that distinguish tracers or encode properties such as temperature or viscosity. However, leakage artifacts enforce a noticeably longer application of iterative standard methods like the Kaczmarz algorithm to reach satisfactory reconstruction results. A greedy randomized version of the Kaczmarz method is adapted, showing the potential for faster recovery.
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Hackelberg et al. (2025) studied this question.
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