Magnetic Field Characterization

Each Magnetic Particle Imaging Scanner has individual magnetic field profiles with distortions that cannot always be simulated.  In particular, eddy current distortions caused by conductive material in the vicinity of the field generating coils is difficult to simulate. Many MPI areas benefit from characterization of the magnetic field: The most basic advantage is to get a rough estimate for the field-of-view (FOV), as a combination of the drive field and the gradient field. From a hardware point of view, the drive-field profile can be used to manufacture optimized dedicated receive coils, as in "Design of a head coil for high resolution mouse brain perfusion imaging using magnetic particle imaging". For a successful model-based reconstruction that utilizes an artificial generated system matrix, the input parameters to generate the system matrix are particularly important. In "Model-based Calibration and Image Reconstruction with Immobilized Nanoparticles" it was shown that besides a robust particle model and the MPI transfer function, accurate magnetic field values are necessary to describe the scanner dependent measurement signal. Additionally, knowledge about the magnetic field profiles can be used to reduce the number of multi-patch system-matrix measurements as in "Generalized MPI Multi-Patch Reconstruction using Clusters of similar System Matrices".

Generally, the magnetic fields in MPI can be separated into "static" and "dynamic" fields. Other than the "static" fields (gradient and focus fields) that can be measured by a Hall probe, the "dynamic" fields (drive fields) can be measured using a coil sensor and Faradays law of induction. To obtain accurate field profiles, the FOV can be measured in form of a system matrix. However, since magnetic fields satisfy the Laplace equations, they can be expressed within a sphere as a series of spherical harmonic functions by integrating solely over the surface of the sphere. Efficient determination of the coefficients of this expansion can be achieved with the help of a comparatively small number of measurements obtained from spherical t-designs, as shown in "Unique Compact Representation of Magnetic Fields using Truncated Solid Harmonic Expansions". This method was used in "Flexible Selection Field Generation using Iron Core Coil Arrays" to investigate the complex relation between currents of iron core coils and the generated magnetic field. Utilizing a coil sensor, the drive field profile can be measured using the scanners own analog-to-digital converter, shown in "Efficient 3D Drive-Field Characterization for Magnetic Particle Imaging Systems".

A horizontal and vertical field-free line measured inside our Low-Power Iron Magnetic Field Generator.

Publications

[164767]
Title: Efficient 3D Drive-Field Characterization for Magnetic Particle Imaging Systems.
Written by: F. Thieben, M. Boberg, M. Graeser, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2022).
Volume: <strong>8</strong>. Number: (1),
on pages: 1-4
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DOI: 10.18416/IJMPI.2022.2203015
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/376
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Note: inproceedings, magneticfield

Abstract: Magnetic particle imaging (MPI) uses orthogonal receive coils aligned with the drive-field coil directions for signal detection. In case of misaligned receive coils, the particle magnetization couples differently into the receive coils such that a re-calibration involving the measurement of a new system function would be necessary. In this work, we propose a method for decoupling the channels algorithmically into the drive-field coil directions using an MPI transfer function matrix. In that way, system functions for different receive coil units can be reused.