A Simulation Study for Three Dimensional Tomographic Field Free Line Magnetic Particle Imaging

Soydan, Damla Alptekin; Güngör, Alper; Top, Can Barış

doi:10.1109/embc46164.2021.9631111

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…However, the selection coils are inefficient to rotate and shift the FFL continuously because of big FOV-to-coil distance [11], [12]. Thus a sequential scan strategy that the FFL is rotated angle by angle and shifted layer by layer for sequential measurements is used to scan the FOV with reduced power consumption [10], [13]. For image reconstruction, the system matrix-based reconstruction [14], [15] is commonly used but has limitations on the system matrix calibration (SMC).…”

Section: Introductionmentioning

confidence: 99%

Sequential Scan-Based Single-Dimension Multi-Voxel System Matrix Calibration for Open-Sided Magnetic Particle Imaging

He,

Zhang,

et al. 2024

IEEE Trans. Med. Imaging

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Open-sided magnetic particle imaging (OS-MPI) has garnered significant interest due to its potential for interventional applications. However, the system matrix calibration in OS-MPI using sequential scans is a time-consuming task and susceptible to the low signal-to-noise ratio (SNR) resulting from the small calibration sample size. These challenges have hindered the practical implementation of system matrix-based reconstruction for sequentially scanned OS-MPI. To address these issues, we propose a novel calibration method, named sequential scanbased single-dimension multi-voxel calibration (SS-SDMVC), to efficiently obtain a high-SNR system matrix. This method was implemented in a cylindrical field of view (FOV), where a bar calibration sample parallel to the field-free line (FFL) was shifted along a fixed radial direction. A standard image reconstruction process was also introduced to verify the feasibility of SS-SDMVC. Through simulations, we analyzed the effects of noise levels and scanner imperfections on the SS-SDMVC-based reconstruction and demonstrated its robustness. In experiments, we compared the imaging performance of SS-SDMVC and the sequential scan-based traditional cubic-FOV SMC. The results showed that SS-SDMVC reduced the number of measurements by a factor of 210.94 and achieved higher reconstruction quality. Therefore, SS-SDMVC is expected to improve the reconstruction quality of human-scale or high-gradient FFL MPI scanners.

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