Model-based calibration and image reconstruction with immobilized nanoparticles

The model-based reconstruction problem is still one of the key challenges in magnetic particle imaging (MPI) when using multi-dimensional Lissajous-type excitations. One aspect, which is often highlighted in the literature, is the magnetization behavior of the magnetic nanoparticles in fluids. Another aspect, which is at least as important as the particle model itself but sometimes treated less prominently, is a very careful calibration of the model input, respectively the scanner parameters such as analog filter and applied magnetic fields. The careful consideration of both aspects is the essential requirement for a proper solution to the model-based problem. In the present work we combine previously calibrated scanner components with mono-and polydisperse particle models for immobilized nanoparticles to derive a model-based system function and an calibration routine exploiting applied magnetic field generalizability. It is experimentally validated on the Bruker preclinical MPI system using 2D Lissajous trajectories.

DDC Class

620: Ingenieurwissenschaften

Funding Organisations

Deutsche Forschungsgemeinschaft (DFG)

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Model-based calibration and image reconstruction with immobilized nanoparticles