Randomized greedy Kaczmarz for multi-contrast magnetic particle imaging

Multi-contrast magnetic particle imaging allows for separating signals from different tracer materials or microenvi-ronments 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.

DDC Class

515: Analysis

621.3: Electrical Engineering, Electronic Engineering

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https://creativecommons.org/licenses/by/4.0/

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Randomized greedy Kaczmarz for multi-contrast magnetic particle imaging