Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric Sensors

Sensors

Franz Faupel¹  Ron-Marco Friedrich¹ 

[1] Institute of Materials Science, Faculty of Engineering, Kiel University, 24143 Kiel, Germany;

关键词: magnetoelectric;    magnetic nanoparticle;    imaging;    inverse problem;    blind deconvolution;   

DOI  :  10.3390/s22030894

来源: DOAJ

【 摘 要 】

Imaging of magnetic nanoparticles (MNPs) is of great interest in the medical sciences. By using resonant magnetoelectric sensors, higher harmonic excitations of MNPs can be measured and mapped in space. The proper reconstruction of particle distribution via solving the inverse problem is paramount for any imaging technique. For this, the forward model needs to be modeled accurately. However, depending on the state of the magnetoelectric sensors, the projection axis for the magnetic field may vary and may not be known accurately beforehand. As a result, the projection axis used in the model may be inaccurate, which can result in inaccurate reconstructions and artifact formation. Here, we show an approach for mapping MNPs that includes sources of uncertainty to both select the correct particle distribution and the correct model simultaneously.

【 授权许可】

Unknown