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arXiv · 2512.19470

MRI Simulation and Reconstruction Framework for Magnetic Vector Fields

Abstract

Purpose: Conventional MRI is relying on the assumption of the magnetic field being homogeneous in direction and amplitude. However, with the growing interest in portable, affordable point-of-care MRI systems, these assumptions do not necessarily hold anymore due to compromises necessary to achieve a reduction in e.g. footprint, weight and portability. Simulation software may help by evaluating new encoding schemes which are optimized for non-ideal hardware but also with the design of new scanner designs. The goal of this work was to develop a MATLAB-based simulation software capable of dealing with deflected magnetic fields during signal simulation and reconstruction and enabling the evaluation of arbitrary magnetic field configurations for encoding in MRI. Methods: Conventional matrix-based Bloch simulation is limited in its applicability to arbitrary magnetic fields. We therefore adapted, evaluated, and validated a modified approach, achieving substantially shorter simulation time. Furthermore, it is used to predict image quality in 2D gradient echo experiments with deflected magnetic fields. Results: The comparison of numerical Bloch and matrix-based simulation revealed close agreement of both reconstructed images. Further, it was shown that compensation of the associated artifacts can be achieved by incorporating knowledge about the used magnetic fields into the reconstruction process. Conclusion: The presented and validated software package enables full consideration of angular inhomogeneities of magnetic vector fields used in MRI for signal simulation but also reconstruction removing the related artifacts. As such, the software might become a valuable tool for new low-field system designs and the investigation of new reconstruction algorithms.

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BibTeXRIS

Fabian Bschorr, Thomas Hüfken, Tobias Lobmeyer, Volker Rasche. 2025-12-22. MRI Simulation and Reconstruction Framework for Magnetic Vector Fields. https://doi.org/10.1016/j.zemedi.2026.02.002

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