MRI Pulse Sequence for Quantifying Magnetic Nanoparticles From Highly Distorted Static Field: View Line
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Date
2024
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Abstract
In order to use magnetic resonance imaging (MRI) as a quantification tool for pre-clinical research involving high concentrations of magnetic nanoparticles (MNPs), a static field map can serve as the basis for subsequent quantitative analysis. However, the magnetic fields generated by high concentrations of MNPs can cause failure in conventional field mapping techniques. This study introduces a novel sequence for producing static field maps. This method has been demonstrated through the acquisition of 7T-MRI data and simulation data for ferucarbotran with a range of iron concentration from 27.9 to 3.48 mu g/mu L. The reconstructed interpolated field map and the theoretical field map showed a high degree of similarity, with a normalized mean error of 23.85% for phantom experiments and 12.02% for animal experiments using a rat. The quantification of the MNP concentration was also satisfactory, particularly considering that it was performed in areas, where the signal is completely lost.
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Artificial intelligence, image processing, magnetic nanoparticles (MNPs), magnetic resonance imaging (MRI), Artificial intelligence, image processing, magnetic nanoparticles (MNPs), magnetic resonance imaging (MRI)