A dictionary-based algorithm for MNP signal prediction at unmeasured drive field frequencies

Abstract

The signal in MPI depends on magnetic nanoparticle (MNP) parameters and environmental conditions, as wellas drive field (DF) settings and measurement system response. In this study, we propose a dictionary-basedalgorithm using a coupled Brown-Néel rotation model to simultaneously estimate the MNP parameters togetherwith system transfer function. We then propose an empirical method that enables signal prediction at unmeasuredDF frequencies, where measurement data is not available.